scientific article
From MaRDI portal
Publication:3342413
zbMath0548.93075MaRDI QIDQ3342413
Lennart Ljung, Torsten Söderström
Publication date: 1983
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
System identification (93B30) Estimation and detection in stochastic control theory (93E10) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) Identification in stochastic control theory (93E12)
Related Items
Convergence analysis of ladder algorithms for AR and ARMA models, Analysis of robust stochastic approximation algorithms for process identification, Estimation and direct adaptive control of delay-differential systems, Identification of non-minimum phase linear stochastic systems, Sequential online subsampling for thinning experimental designs, Asymptotic model-based identification of an acoustically rigid sphere, Stopping rules for optimization algorithms based on stochastic approximation, Approximation of the initial reserve for known ruin probabilities, Matrix algebraic properties of the Fisher information matrix of stationary processes, Dynamic structural systems under indirect observation: Identifiability and estimation aspects from a system theoretic perspective, Adaptive feedback cancellation for audio applications, Joint state and parameter estimation for distributed mechanical systems, Maximum likelihood estimations in a nonlinear self-exciting point process model, From time series to linear system, III: Approximate modelling, Convergence analysis for recursive Hammerstein identification, Tensor Sylvester matrices and the Fisher information matrix of VARMAX processes, Identification based on data with sampling delays, An application-oriented approach to dual control with excitation for closed-loop identification, Vector space structure of finite evolutionary games and its application to strategy profile convergence, Two-stage RLS algorithm for estimating ARCH models, Learning in linear models with expectational leads, Adaptive feedback cancellation in hearing aids, An adaptive control algorithm for linear systems having unknown time delay, Dynamic mooring forces allocation in dynamic ship positioning, Nonstationary time series identification, Multiple-input dual-output adjustment scheme for semiconductor manufacturing processes using a dynamic dual-response approach, Recursive estimators with Markovian jumps, RLS parameter convergence with overparameterized models, Convergence of least squares learning mechanisms in self-referential linear stochastic models, State reduction in a dependent demand inventory model given by a time series, A method for adaptive estimation of ARMA processes, Abstract stochastic approximations and applications, Auxiliary model-based least-squares identification methods for Hammerstein output-error systems, Testing for causality in real time, A method for the estimation of infrequent abrupt changes in nonlinear systems, A finite-difference method for linearization in nonlinear estimation algorithms, Awareness and its use in incremental data driven modelling for plug and play process control, Function perturbations in Boolean networks with its application in a \textit{D. melanogaster} gene network, Truncated stochastic approximation with moving bounds: convergence, Non-parametric estimate of the system function of a time-varying system, Offline and online weighted least squares estimation of nonstationary power ARCH processes, Robust combined estimation of states and parameters of bilinear systems, Money as a medium of exchange in an economy with artificially intelligent agents, Adaptive feedforward compensation algorithms for active vibration control with mechanical coupling, A generalized instrumental variable estimation method for errors-in-variables identification problems, Towards more precise recursive prediction error algorithms, Differential constraints for bounded recursive identification with multivariate splines, Will the PLS criterion for order estimation work with AML and a posteriori prediction error?, Eigenvalue location of certain matrices arising in convergence analysis problems, Parameter identification in dynamic systems using the homotopy optimization approach, Locally robust identification of linear systems containing unknown gain elements with application to adapted IIR lattice models, Rate of convergence of the LMS method, Recursive identification of time-varying systems via incremental estimation, An \(l_ 2\)-stable feedback structure for nonlinear adaptive filtering and identification, Strongly consistent estimation of the order of stochastic control systems (CARMA model), Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems, Fast algorithm of Chandrasekhar type for ARMA model identification, Testing for sunspot equilibria in the German hyperinflation, Temperature prediction at critical points in district heating systems, Learning to predict rationally when beliefs are heterogeneous, Error learning behaviour and stability revisited, Performance of monetary policy with internal central bank forecasting, On sequential confidence estimation of parameters of stochastic dynamical systems with conditionally Gaussian noises, Rate of convergence of truncated stochastic approximation procedures with moving bounds, Automatic tuning of digital controllers with applications to HVAC plants, Matrix differential calculus applied to multiple stationary time series and an extended Whittle formula for information matrices, Determinacy and stability under learning of rational expectations equilibria, Distributed learning and cooperative control for multi-agent systems, Linear quadratic regulation of systems with stochastic parameter uncertainties, An active fault-tolerant PWM tracker for unknown nonlinear stochastic hybrid systems: NARMAX model and OKID-based state-space self-tuning control, A new method for synthesizing multiple-period adaptive-repetitive controllers and its application to the control of hard disk drives, Recursive instrumental variable estimation of simultaneous equations with autoregressive disturbances, Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence of additive noise, Performance of adaptive estimators in slowly varying parameter models, Successive identification of the random-parameter linear dynamic system, Controllability and observability of singular Boolean control networks, Alternative algorithms for generalized predictive control, Adaptation and tracking in system identification - a survey, Numerical integration approach to on-line identification of continuous- time systems, A general Hankel-norm approximation scheme for linear recursive filtering, Equilibrium with signal extraction from endogenous variables, Time-adaptive quantile regression, A covariance matching approach for identifying errors-in-variables systems, Risk-sensitivity conditions for stochastic uncertain model validation, Theory and applications of adaptive control - a survey, Stochastic identification and digital control of a heat exchanger: a simulation test case, A self-tuning regulator based on optimal output feedback theory, Uniqueness of estimated k-step prediction models of ARMA processes, A perspective on convergence of adaptive control algorithms, Practical issues in the implementation of self-tuning control, The role of the interactor matrix in multivariable stochastic adaptive control, Adaptive control based on explicit criterion minimization, Error propagation properties of recursive least-squares adaptation algorithms, A unified derivation for fast estimation algorithms by the conjugate direction method, Recursive estimation: A unified approach to the identification, estimation, and forecasting of hydrological systems, Unprejudiced optimal open loop input design for identification of transfer functions, Asymptotically optimum recursive prediction error methods in adaptive estimation and control, Design of an L.Q.G. controller for single point moored large tankers, Plasma estimation: A noise cancelling application, On recursive estimation for time varying autoregressive processes, Application of the minimum state error variance approach to nonlinear system control, Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control, Frequency domain accuracy of recursively identified ARX models, Adaptive expert control, Identification of time‐varying OE models in presence of non‐Gaussian noise: Application to pneumatic servo drives, A result on the mean square error obtained using general tracking algorithms, Some asymptotic results in recursive identification using laguerre models, Construction of composite models from observed data, Properties of neural networks with applications to modelling non-linear dynamical systems, Performance analysis of the forgetting factor RLS algorithm, A factored form of the instrumental variable algorithm, On-line parameter estimation for a failure-prone system subject to condition monitoring, Enhanced algorithm for randomised model structure selection, Self-weighted recursive estimation of GARCH models, Unifying the landmark developments in optimal bounding ellipsoid identification, On‐line parameter interval estimation using recursive least squares, Adaptive control of a stochastic non‐linear system: An example, Modified recursive least-squares algorithm for parameter identification, Computationally efficient high‐order yule‐walker frequency estimation, Efficient tuning of linear multivariable controllers using iterative feedback tuning, Model reduction for discrete unstable systems based on generalized normal representations, Simultaneous structure identification and parameter estimation of multivariable systems, Identification of linear systems with noisy input using input-output cumulants, QQ-plot approach to robust Kalman filtering, Convergence of a Distributed Kiefer-Wolfowitz Algorithm, Recursive hybrid algorithm for non-linear system identification using radial basis function networks, HIGH-PERFORMANCE COMPUTING FOR ROBOT DYNAMIC PARAMETERS LEARNING, An augmented UD identification algorithm, Identification of rudder—yaw and rudder—roll steering models by using recursive prediction error techniques, On the asymptotic properties of the LQG feedforward self-tuner, On robust Kalman filtering, Decentralized state estimation in large-scale systems, Unnamed Item, Adaptive estimation for periodic signal enhancement and tracking, A New Recursive Estimation Method for Single Input Single Output Models, Neural network for system identification, Identification of systems from non-uniformly sampled data, Output feedback control of non-affine MIMO systems, Artificial neural networks: an econometric perspective∗, Approximate gradients, convergence and positive realness in recursive identification of a class of non‐linear systems, Identification of a class of nonlinear continuous-time systems using Hartley modulating functions, BIAS AND COVARIANCE OF THE RECURSIVE LEAST SQUARES ESTIMATOR WITH EXPONENTIAL FORGETTING IN VECTOR AUTOREGRESSIONS, Parameter identification of robot arm with repetitive control, Optimized adaptive prediction, Strong consistency and convergence rate of parameter identification for bilinear systems, Recursive information forgetting with augmented UD identification, On the robust stability of a Clarke-Gawthrop type of self-tuning controller, Fast orthogonal identification of nonlinear stochastic models and radial basis function neural networks, Unnamed Item, On one algorithm for reconstruction of an disturbance in a linear system of ordinary differential equations, Multiple robust track‐following controller design in hard disk drives, Modelling changing lag patterns in Dutch construction, Adaptive controller using filter banks to reject multi-sinusoidal disturbance, A SMOOTHING ALGORITHM FOR NONLINEAR TIME SERIES, NONLINEAR DYNAMICAL SYSTEM IDENTIFICATION FROM UNCERTAIN AND INDIRECT MEASUREMENTS, Survey of industrial optimized adaptive control, Recursive online EM estimation of mixture autoregressions, Stochastic approximation, Unnamed Item, Synchronization of Interconnected Multi‐valued Logical Networks, A convex optimization algorithm for frequency‐domain identification in the v‐gap metric, Analysis of a low-complexity change detection scheme, An algorithm for computing the asymptotic fisher information matrix for seasonal SISO models, A homotopy approach to improving PEM identification of ARMAX models, On‐line parameter estimation for a partially observable system subject to random failure, Behavior of a Novel Iterative Deconvolution Algorithm for System Identification, Convergence analysis of the RLS identification algorithm with exponential forgetting in stationary ARX-structures, Asymptotically efficient recursive estimation for incomplete data models using the observed information., Stochastic approximation algorithms: overview and recent trends., Errors-in-variables methods in system identification, Recursive identification algorithms for continuous systems using an adaptive procedure, Bias-compensating least squares method for identification of continuous-time systems from sampled data, Fuzzy adaptive control, On the multivariable approximate stochastic realization problem, Joint state and parameter estimation for a nuclear reactor with fast and slow modes, Adaptive instrumental variable methods for frequency estimation, An error-learning neural network for the tuning of robot dynamic models, On the use of Youla–Kucera parametrisation in adaptive active noise and vibration control – a review, Recursive identification of transfer function matrix in continuous systems via linear integral filter, Global Lyapunov stability and exponential convergence of direct adaptive control, An Enhanced Recursive Stopping Rule for Steepest Ascent Searches in Response Surface Methodology, Active noise control using a dual feedforward approach, Adaptive control with expert system based supervisory functions, Model-based fault detection and isolation method using ART2 neural network, NEAREST‐NEIGHBOUR METHODS FOR TIME SERIES ANALYSIS, Smoothed estimates for nonlinear time series models with irregular data, Recursive estimation of bilinear time series models, ESTIMATION OF AUTOREGRESSIVE MOVING-AVERAGE MODELS VIA HIGH-ORDER AUTOREGRESSIVE APPROXIMATIONS, CONTRIBUTIONS TO EVOLUTIONARY SPECTRAL THEORY, A discrete‐time optimal adaptive control law for a robot arm, Fixed-interval smoother in the identification of time-varying dynamics, Approximate adjoint-based iterative learning control, Extended horizon self‐tuning control of a pulsed liquid‐liquid extraction column, Unnamed Item, Spatiotemporal system reconstruction using Fourier spectral operators and structure selection techniques, Unnamed Item, Modelling and identification of nonlinear cascade systems with backlash input and static output nonlinearities, Nonlinear control charts for jump detection, Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation, Spatiotemporal system identification on nonperiodic domains using Chebyshev spectral operators and system reduction algorithms, Asymptotically optimal smoothing of averaged LMS estimates for regression parameter tracking, Closed-loop persistent identification of linear systems with unmodeled dynamics and stochastic disturbances, Identification and adaptation with binary-valued observations under non-persistent excitation condition, Generalized recursive least squares: stability, robustness, and excitation, On the asymptotic behaviour of linear learning processes with partial forgetting, Nonlinear multidisciplinary design optimization using system identification and optimal control theory, Identification of linear dynamic systems using piecewise constant exitations: Use, misuse and alternatives, Learning from experience in the stock market, Analysis of a high-resolution optical wave-front control system, On Rissanen's predictive stochastic complexity for stationary ARMA processes, On the development and application of a continuous-discrete recursive prediction error algorithm, An innovation representation for nonlinear systems with application to parameter and state estimation, State space based dual-rate self-tuning, Automatic initialization of a robust self-tuning controller, On robust AML identification algorithms, Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models, Adaptive system stability robustness via burst recovery, On dynamical reconstruction of an input in a linear system under measuring a part of coordinates, Long-range predictive control of an absorption packed column, Redefined observability matrix for Boolean networks and distinguishable partitions of state space, The block regularised parameter estimator and its parallelisation, Control theory forecasts of optimal training dosage to facilitate children's arithmetic learning in a digital educational application, Neural classifiers for dynamic system modes, Twenty-one ML estimators for model selection, An output error recursive algorithm for unbiased identification in closed loop, Unbiased parameter estimation of linear systems with colored noises, Methods for recursive robust estimation of AR parameters, Slip-based tire-road friction estimation, Recursive relaxation identification of linear multivariable systems with its parallel algorithm, On the initialization of adaptive learning in macroeconomic models, Orthogonal functions for cross-directional control of web forming processes, An image-based filter for discrete-time Markovian jump linear systems, Nonlinear black-box modeling in system identification: A unified overview, Linear least-squares algorithms for temporal difference learning, Identification of nonlinear dynamic systems with input saturation and output backlash using three-block cascade models, Stabilization of dynamic-algebraic Boolean control networks via state feedback control, Data-based synthesis of a multivariable linear-quadratic regulator, Exact distribution and moments for the RLS estimate in a time-varying AR(1) process, Cross-directional control on paper machines using Gram polynomials, A new method for the identification of Hammerstein model, The method of averaged models for discrete-time adaptive systems, Chaos time-series prediction based on an improved recursive Levenberg-Marquardt algorithm, Periodic autoregressive stochastic volatility, A simple recursive forecasting model, The effect of the time-structure of information on the expectational-stability of rational expectations, Online affine model identification of nonlinear processes using a new adaptive neuro-fuzzy approach, E-equilibria and adaptive expectations: Output and inflation in the LBS model, Real time estimation of stochastic volatility processes, Sequential Bayesian kernel modelling with non-Gaussian noise, Variational Bayesian least squares: an application to brain-machine interface data, A Youla-Kucera parametrized adaptive feedforward compensator for active vibration control with mechanical coupling, Robust invariant set analysis of Boolean networks, The averaged Robbins-Monro method for linear problems in a Banach space, Convergence and consistency of recursive least squares with variable-rate forgetting, The transformation between the Galois NLFSRs and the Fibonacci NLFSRs via semi-tensor product of matrices, Estimating the degree of time variance in a parametric model, Confidence estimation of autoregressive parameters based on noisy data, Neural networks for control systems - a survey, Model based fuzzy control, Pole placement adaptive control with persistent jumps in the plant parameters, System identification and control design of a nonlinear continuously stirred tank reactor, Estimation and setting starting values in ARMA algorithms, On the solution of Stein's equation and Fisher's information matrix of an ARMAX process, Model identification for spin networks, Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema, From experiment design to closed-loop control, An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems, Learning when to say no, Online natural gradient as a Kalman filter, Parameter identification of conservative Hamiltonian systems using first integrals, Recursive nonlinear-system identification using latent variables, General decomposition of fuzzy relations: semi-tensor product approach, Time-varying parameters and nonconvergence to rational expectations under least squares learning, Grey-box modelling and identification using physical knowledge and Bayesian techniques, A Kalman particle filter for online parameter estimation with applications to affine models, Parameter identification and estimation for stage-structured population models, Recusrsive prediction error identification using the nonlinear Wiener model, A digital input/output model for trace-class systems, Overlapping block-balanced canonical forms for various classes of linear systems, Necessary and sufficient regressor conditions for the global asymptotic stability of recursive least squares, Stochastic gradient learning in the cobweb model, Electromagnetic signal processing: An estimation/identification application, State-space approximation of multi-input multi-output systems with stochastic exogenous inputs, Modelling and analysis of fractional Brownian motions, A systems approach to recursive economic forecasting and seasonal adjustment, Round-off error propagation in four generally-applicable, recursive, least-squares estimation schemes, Noise cancellation in on-line acoustic impulse response measurements for the quality assessment of consumption eggs, Tracking time-varying parameters with local regression, Continuous-time approaches to identification of continuous-time systems, Adaptive learning and equilibrium selection in experimental coordination games: An ARCH(1) approach, The exact quasi-likelihood of time-dependent ARMA models, Stochastic policy design in a learning environment with rational expectations., Recursive estimation of a drifted autoregressive parameter., First inverse moment of a generalized quadratic form, Using ARMA models to forecast workpiece roundness error in a turning operation, A new least squares parameter estimator for nonlinear regression equations with relaxed excitation conditions and forgetting factor, Strong approximation of the recursive prediction error estimator of the parameters of an ARMA process, Recursive identification in continuous-time stochastic processes, Associative memory approach to the identification of structural and mechanical systems, Linear system identification via an asymptotically stable observer, Convergence analysis of forgetting factor least squares algorithm for ARMAX time-delay models, A note on the convergence of a class of adaptive optimal identifiers, Dynamical estimation of a noisy input in a system with a Caputo fractional derivative. The case of continuous measurements of a part of phase coordinates, A safety-prioritized receding horizon control framework for platoon formation in a mixed traffic environment, On a general structure for adaptation/learning algorithms. -- Stability and performance issues, Predicting the Global Minimum Variance Portfolio, A cumulant based algorithm for the identification of input-output quadratic systems, Recursive identification under scarce measurements-convergence analysis, Parameter identification and convergence analysis based on the least-squares method for a class of non-linear systems Part 1. SISO case, Adaptive noise reduction using numerically stable fast recursive least squares algorithm, Design of adaptive algorithms for the tracking of time‐varying systems, Partial convergence of extended least squares for insufficiently excited linear systems, A partial history of the early development of continuous-time nonlinear stochastic systems theory, On the stability of time-varying models obtained by extended recursive least-squares identification, Parameter identification and convergence analysis for a class of non-linear systems with time-varying random parameters, Self-tuning control application to a nuclear power plant, Unnamed Item, Frequency domain conditions for parameter convergence in multivariable recursive identification, Self-tuning filters and predictors for two-dimensional systems Part 1: Algorithms, Recursive prediction error identification and scaling of non-linear state space models using a restricted Black box parameterization, Target point-based path-following controller for a car-type vehicle using bounded controls, Adaptive deadbeat control of stochastic systems, A prediction-error and stepwise-regression estimation algorithm for non-linear systems, Multirate self-tuning predictive control with application to binary distillation column, Relations between information criteria for model-structure selection Part 1. The role of bayesian model order estimation, ITERATIVE AND RECURSIVE ESTIMATION OF TRANSFER FUNCTIONS, Continuous-time constrained least-squares algorithms for recursive parameter estimation of stochastic linear systems by a stabilized output-error method, Model-structure selection by cross-validation, ARMAX lattice algorithm for identification and prediction of dynamic systems, Stability of dynamic models obtained by ARMAX lattice predictor, Regularized pole-placement adaptive control of a liquid-liquid extraction column, H∞ robust controller for self-tuning applications Part 3. Self-tuning controller implementation, The methods of dynamical reconstruction of an input in a system of ordinary differential equations, Non-linear system identification using neural networks, Self-tuning filters and predictors for two-dimensional systems Part 2: Smoothing applications, On-line time- and frequency-domain identification of unstable processes, Stochastic quasi-Newton with line-search regularisation, Tracking time-varying-coefficient functions, Modeling methods for underwater robotic vehicle dynamics, Decision theoretic approach to real-time robust identification, An approximate dynamic programming approach to the admission control of elective patients, Recursive identification of bilinear systems, Experimental design and identifiability for non-linear systems, An adaptive scheme for robot joint trajectory generation, Quadratic-criterion self-tuning control with error transfer-function pole/zero placement, Parameter estimation of macroeconomic systems under rational expectations, FISHER'S INFORMATION MATRIX FOR SEASONAL AUTOREGRESSIVE-MOVING AVERAGE MODELS, Robust real-time algorithms for identification of linear multivariable time-varying systems, Direct digital and adaptive control by input-output state variable feedback pole assignment, Model transformations for state–space self–tuning control of multivariable stochastic systems, Improved least squares identification, When can a deterministic model of a population system reveal what will happen on average?, Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems, Successive parameter estimation of continuous dynamic systems, Off-line identification of nonlinear, dynamic systems using a neuro-fuzzy modelling technique, Robust real-time identification of linear systems with correlated noise, MFD models and time delays; some consequences for identification, Linear quadratic self-tuning control of a liquid-liquid extraction column, Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms, Recursive least-squares and accelerated convergence in stochastic approximation schemes, Recursive maximum likelihood identification of a non-linear output-affine model, A recursive online algorithm for the estimation of time-varying ARCH parameters, Convergence analysis of instrumental variable recursive subspace identification algorithms, A MODEL OF NEAR-RATIONAL EXUBERANCE, Design of recursive least-squares fixed-lag smoother using covariance information in linear continuous stochastic systems, Identification of TAR models using recursive estimation, Gauss, Kalman and advances in recursive parameter estimation, Representations of non-linear systems: the NARMAX model, Choice of least-squares algorithms for the identification of ARM AX dynamic systems, On the asymptotic accuracy of pseudo-linear regression algorithms, A behavioral stock market model, Sufficient and necessary condition for the convergence of stochastic approximation algorithms, Robust observation and identification ofnDOF Lagrangian systems, Model combination in neural-based forecasting, Factorizations that relax the positive real condition in continuous-time and fast-sampled ELS schemes, Parameter estimation of the FitzHugh-Nagumo model using noisy measurements for membrane potential, Rational model identification using an extended least-squares algorithm, Relations between information criteria for model-structure selection Part 2. Modelling by shortest data description, Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models, Use of disturbance measurement feedforward in LQG self-tuners, Identification of linear systems using input-output cumulants, An adaptive estimation method using instrumental variables and deconvolution, Lp-stability of estimation errors of kalman filter for tracking time-varying parameters, Unbiased parameter estimation of linear systems in the presence of input and output noise, A fast RLS transversal filter for adaptive linear phase filtering, A comparison of model-based and data-driven controller tuning, Joint state and parameter robust estimation of stochastic nonlinear systems, New identification method for Hammerstein models based on approximate least absolute deviation, Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG, Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification, Weighted linear associative memory approach to nonlinear parameter estimation, Structural Adaptive Smoothing Procedures, An On-Line Estimation Algorithm for Periodic Autoregressive Models, Recursive Estimation of GARCH Models, Risk sensitive identification of linear stochastic systems, A NEURAL NETWORK APPROACH TO ON-LINE IDENTIFICATION OF NONLINEAR SYSTEMS, Some modifications on the refined instrumental variable method†, A linear time-varying filter for estimating a signal from unknown noise and its application to identification, On a general concept of forgetting, A simple method of recursive parameter identification for a class of distributed parameter systems, On the parsimony principle, Estimation control in dynamic models with applications to environmental modelling, Unnamed Item, Recursive methods for off-line identification, On-line almost-sure parameter estimation for partially observed discrete-time linear systems with known noise characteristics, A Quasi-ARMAX approach to modelling of non-linear systems, Non-linear system identification using Hammerstein and non-linear feedback models with piecewise linear static maps, On instrumental variable and total least squares approaches for identification of noisy systems
