Adaptive fuzzy backstepping control for a two continuous stirred tank reactors process based on dynamic surface control approach
From MaRDI portal
Publication:2177849
DOI10.1016/j.amc.2020.125138OpenAlexW3010563370MaRDI QIDQ2177849
Bo Yu, Lin Zhao, Jinpeng Yu, Li-Ping Xin
Publication date: 7 May 2020
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2020.125138
Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)
Related Items (6)
A new result on semi-synchronous event-triggered backstepping robust control for a class of non-Lipschitzian networked systems ⋮ Dynamic and sensor fault tolerant control for an intensified heat-exchanger/reactor ⋮ Residual neural network-based observer design for continuous stirred tank reactor systems ⋮ Decentralized event-triggered adaptive control of a class of uncertain interconnected nonlinear systems using local state feedback corrupted by unknown injection data ⋮ Decentralized adaptive funnel control of uncertain large-scale interconnected nonlinear system ⋮ Adaptive modified prescribed performance constraint control for uncertain nonlinear discrete-time systems
Cites Work
- Unnamed Item
- Adaptive fuzzy tracking control for stochastic nonlinear systems with unknown time-varying delays
- Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer
- A DSC approach to adaptive neural network tracking control for pure-feedback nonlinear systems
- A descriptor representation approach to observer-based \(H_\infty\) control synthesis for discrete-time fuzzy systems
- Adaptive fuzzy control for a class of unknown nonlinear dynamical systems
- Direct adaptive fuzzy control of nonlinear strict-feedback systems
- Almost disturbance decoupling of MIMO nonlinear systems and application to chemical processes.
- Observer-based fuzzy adaptive stabilization of uncertain switched stochastic nonlinear systems with input quantization
- Quantized feedback fuzzy sliding mode control design via memory-based strategy
- Distributed adaptive output consensus tracking of nonlinear multi-agent systems via state observer and command filtered backstepping
- Passive state estimation for fuzzy jumping neural networks with fading channels based on the hidden Markov model
- Adaptive fuzzy control for induction motors stochastic nonlinear systems with input saturation based on command filtering
- Observer-based adaptive fuzzy tracking control of MIMO switched nonlinear systems preceded by unknown backlash-like hysteresis
- An improved adaptive neural dynamic surface control for pure-feedback systems with full state constraints and disturbance
- Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems
- Asynchronous dissipative filtering for nonlinear jumping systems subject to fading channels
- Decentralized adaptive fuzzy tracking control for a class of uncertain large-scale systems with actuator nonlinearities
- Distributed adaptive consensus tracking control for nonlinear multi-agent systems with state constraints
- Dynamic surface control for a class of nonlinear systems
- OBSERVER-BASED INPUT-OUTPUT LINEARIZATION CONTROL OF A MULTIVARIABLE CONTINUOUS CHEMICAL REACTOR
- Multi-model predictive control based on LMI: from the adaptation of the state-space model to the analytic description of the control law
- Adaptive control of linearizable systems
- Robust feedback stabilization of chemical reactors
- A Descriptor System Approach to Stability and Stabilization of Discrete-Time Switched PWA Systems
- Nonfragile $H_{\infty}$ Filtering of Continuous-Time Fuzzy Systems
- Robust input-output feedback linearization
- A stabilizing model-based predictive control algorithm for nonlinear systems
This page was built for publication: Adaptive fuzzy backstepping control for a two continuous stirred tank reactors process based on dynamic surface control approach