Adaptive decentralized prescribed performance control for a class of large-scale stochastic nonlinear systems subject to input saturation and full state constraints
From MaRDI portal
Publication:6498000
DOI10.1002/ACS.3647MaRDI QIDQ6498000
Yu-Qun Han, Shanliang Zhu, Dongmei Wang, Na Li, Yang Du
Publication date: 7 May 2024
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
decentralized controlinput saturationprescribed performance controlfull state constraintslarge-scale stochastic nonlinear systems
Cites Work
- Nonlinear decentralized control of large-scale systems with strong interconnections
- Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays
- Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
- Decentralized adaptive control for large-scale time-delay systems with dead-zone input
- Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
- Decentralized adaptive fuzzy output feedback control of stochastic nonlinear large-scale systems with dynamic uncertainties
- Tracking control of MIMO nonlinear systems under full state constraints: a single-parameter adaptation approach free from feasibility conditions
- Backstepping-based decentralized bounded-\(H_\infty\) adaptive neural control for a class of large-scale stochastic nonlinear systems
- Decentralized nonlinear output-feedback stabilization with disturbance attenuation
- Output-Feedback Control for Stochastic Nonlinear Systems Subject to Input Saturation and Time-Varying Delay
- Decentralized adaptive multi‐dimensional Taylor network tracking control for a class of large‐scale stochastic nonlinear systems
- Multidimensional Taylor network adaptive control for MIMO time‐varying uncertain nonlinear systems with noises
- Decentralized Backstepping Adaptive Output Tracking of Interconnected Nonlinear Systems
- Adaptive Finite-Time Stabilization of Stochastic Nonlinear Systems Subject to Full-State Constraints and Input Saturation
- Adaptive tracking control of a class of nonlinear systems with unknown dead-zone output: a multi-dimensional Taylor network (MTN)-based approach
- Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation
- Observer-based multi-dimensional Taylor network decentralised adaptive tracking control of large-scale stochastic nonlinear systems
- Adaptive Tracking Control for a Class of Stochastic Uncertain Nonlinear Systems With Input Saturation
- Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints
This page was built for publication: Adaptive decentralized prescribed performance control for a class of large-scale stochastic nonlinear systems subject to input saturation and full state constraints