Journal ArticleDOI
Neural-Based Decentralized Adaptive Finite-Time Control for Nonlinear Large-Scale Systems With Time-Varying Output Constraints
TLDR
This paper addresses the adaptive finite-time decentralized control problem for time-varying output-constrained nonlinear large-scale systems preceded by input saturation by combining the backstepping approach with Lyapunov function theory.Abstract:
This paper addresses the adaptive finite-time decentralized control problem for time-varying output-constrained nonlinear large-scale systems preceded by input saturation. The intermediate control functions designed are approximated by neural networks. Time-varying barrier Lyapunov functions are used to ensure that the system output constraints are never breached. An adaptive finite-time decentralized control scheme is devised by combining the backstepping approach with Lyapunov function theory. Under the action of the proposed approach, the system stability and desired control performance can be obtained in finite time. The feasibility of this control strategy is demonstrated by using simulation results.read more
Citations
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Journal ArticleDOI
Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems
TL;DR: The Lyapunov stability theory is introduced to demonstrate that the adaptive controller achieves the desired control goals and a numerical simulation is performed which verifies the significance and feasibility of the presented control scheme.
Journal ArticleDOI
Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks
TL;DR: The main objective of this article is to design a controller such that, under randomly occurring FDIAs and admissible parameter uncertainties, the MASs achieve consensus by utilizing stochastic analysis method.
Journal ArticleDOI
Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation
TL;DR: An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear nonstrict-feedback multiagent systems (MASs) against input saturation, unknown disturbance, and sensor faults and it is proved that all signals in the closed-loop system are semi-globally uniformly ultimately bounded.
Journal ArticleDOI
Containment Control of Semi-Markovian Multiagent Systems With Switching Topologies
TL;DR: Two kinds of classical control schemes are utilized to address the proposed synthesis problem of the containment control with respect to continuous-time semi- Markovian multiagent systems with semi-Markovian switching topologies.
Journal ArticleDOI
Observer-Based Event-Triggered Fuzzy Adaptive Bipartite Containment Control of Multiagent Systems With Input Quantization
TL;DR: This article studies the bipartite containment control problem for nonlinear multiagent systems (MASs) with input quantization over a signed digraph with an event-triggered control scheme developed via backstepping technique.
References
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Journal ArticleDOI
Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
TL;DR: This paper presents control designs for single-input single-output (SISO) nonlinear systems in strict feedback form with an output constraint, and explores the use of an Asymmetric Barrier Lyapunov Function as a generalized approach that relaxes the requirements on the initial conditions.
Journal ArticleDOI
Global finite-time stabilization of a class of uncertain nonlinear systems
Xianqing Huang,Wei Lin,Bo Yang +2 more
TL;DR: It is proved that global finite-time stabilizability of uncertain nonlinear systems that are dominated by a lower-triangular system can be achieved by Holder continuous state feedback.
Journal ArticleDOI
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
TL;DR: The auxiliary design system is introduced to analyze the effect of input constraints, and its states are used to adaptive tracking control design, and the closed-loop semi-global uniformly ultimate bounded stability is achieved via Lyapunov synthesis.
Journal ArticleDOI
Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems
Yan-Jun Liu,Shaocheng Tong +1 more
TL;DR: Two theorems are provided to show that all the signals in the closed-loop system are bounded, the outputs are driven to follow the reference signals and all the states are ensured to remain in the predefined compact sets.
Journal ArticleDOI
Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints
TL;DR: It is proved that all the signals in the closed-loop system are semi-global uniformly ultimately bounded (SGUUB) in probability, the system output is driven to follow the reference signals, and all the states are ensured to remain in the predefined compact sets.