Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems

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Cites Work

Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
An efficient hierarchical identification method for general dual-rate sampled-data systems
Optimality of the threshold dividend strategy for the compound Poisson model
Combined parameter and output estimation of dual-rate systems using an auxiliary model
Practical exponential stability of stochastic age-dependent capital system with Lévy noise
Robust multivariable predictive control for laser-aided powder deposition processes
Combined state and least squares parameter estimation algorithms for dynamic systems
A true three-scroll chaotic attractor coined
Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother
An iterative state-space identification method with data correlation for MIMO systems with measurement noise
Identification of linear systems with multiplicative noise from multiple trajectory data
A novel kernel functions algorithm for solving impulsive boundary value problems
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
Modeling and identification of uncertain-input systems
Distributed finite-time estimation of the bounds on algebraic connectivity for directed graphs
Distributed estimation for nonlinear systems
Distributed state estimation by a network of observers under communication and measurement delays
Optimal dividend problems for a jump-diffusion model with capital injections and proportional transaction costs
Particle filtering based parameter estimation for systems with output-error type model structures
An extension of Paulsen-Gjessing's risk model with stochastic return on investments
Adaptive parameter estimation for a general dynamical system with unknown states
Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
Hierarchical parameter and state estimation for bilinear systems
Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
Closed-loop delta-operator-based subspace identification for continuous-time systems utilising the parity space
Least-squares parameter estimation for state-space models with state equality constraints
Highly computationally efficient state filter based on the delta operator
State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
Parameter estimation of dual-rate stochastic systems by using an output error method
Nonexponential asymptotics for the solutions of renewal equations, with applications
Fault identification in nonlinear dynamic systems not satisfying matching, minimum phase, and detectability conditions
Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window
Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise

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