Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries
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Publication:6197896
DOI10.1002/rnc.6951MaRDI QIDQ6197896
Publication date: 20 March 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10)
Cites Work
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- Performance analysis of stochastic gradient algorithms under weak conditions
- Recursive parameter estimation algorithm for multivariate output-error systems
- Trial-and-error or avoiding a guess? Initialization of the Kalman filter
- Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
- Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
- Nonlinear system identification using fractional Hammerstein-Wiener models
- State-of-charge estimation for lithium-ion batteries based on incommensurate fractional-order observer
- Performance analysis of estimation algorithms of nonstationary ARMA processes
- Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
- 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
- Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
- 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
- The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle
- Parameter estimation of dual-rate stochastic systems by using an output error method
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling
- Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
- Separable multi-innovation Newton iterative modeling algorithm for multi-frequency signals based on the sliding measurement window
- Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
- Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
- A novel dynamic nonlinear partial least squares based on the cascade structure
- The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
- Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
- Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
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