Optimized Inverse Nonlinear Function-Based Wiener Model Predictive Control for Nonlinear Systems
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- Type
- article
- Published
- 2021-05-03
- Cited by
- 13
- References
- 62
- Access
- Open access
- OpenAlex
- https://openalex.org/W3158176636
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:235536944
Keywords
Control theory (sociology), Model predictive control, Nonlinear system, Controller (irrigation), Mathematics
References
- Process Control: A First Course with MATLAB
- Performance of an Adaptive Controller for the Neuromuscular Blockade Based on Inversion of a Wiener Model
- Adaptive discrete-time sliding-mode control of nonlinear systems described by Wiener models
- Model predictive control of pH neutralization processes: A review
- Direct Power Control of Dfig by Using Nonlinear Model Predictive Controller
- Control System Design for a Neutralization Process using Block Oriented Models
- Identification of multivariable nonlinear systems in the presence of colored noises using iterative hierarchical least squares algorithm.
- Wiener model based nonlinear predictive control
- A nonlinear model predictive control system based on Wiener piecewise linear models
- Subspace identification methods for Hammerstein systems: rank constraint and dimension problem
- Recursive Least Squares-Based Adaptive Control of a Biodiesel Transesterification Reactor
- Adaptive control of Hammerstein–Wiener nonlinear systems
- Nonlinear Quadratic Dynamic Matrix Control with State Estimation
- Wiener–Hammerstein system identification – an evolutionary approach
- Practical nonlinear predictive control algorithms for neural Wiener models
- Dynamics of pH in Controlled Stirred Tank Reactor
- Robust nonlinear internal model control of stable Wiener systems
- Fuzzy control of a neutralization process
- Newton iterative identification for a class of output nonlinear systems with moving average noises
- Refined instrumental variable method for Hammerstein-Wiener continuous-time model identification
Cited by
- Multi-variable modeling and system identification of an interleaved boost converter
- Analysis and Research on Nonlinear Complex Function Approximation Problem Based on Deep Learning
- A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies
- Enhanced MPC for Omnidirectional Robot Motion Tracking Using Laguerre Functions and Non-Iterative Linearization
- A thrust allocation strategy for intelligent ships based on model prediction control
- Converter inlet temperature control in flue gas acid‐making process based on equivalent input disturbance and model prediction
- Deep Learning-Based State-Dependent ARX Modeling and Predictive Control of Nonlinear Systems
- Parameter estimation of multivariable Wiener nonlinear systems by the improved particle swarm optimization and coupling identification
- Nonlinear Model Predictive Control Based on RBF Neural Network Trained by Stochastic Methods
- An Application of Partial Update Kalman Filter for Bilinear System Modelling
- Probabilistic fuzzy neural network-based indirect adaptive control framework for dynamic systems.
- Adaptive Control of Nonlinear Systems Based on Adaptive Set-membership Identification and Fully Actuated Modeling
- A Model Predictive Controller For Autonomous Ground Vehicles Path Tracking
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