Journal ArticleDOI
Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems
TLDR
The time-varying asymmetric barrier Lyapunov functions (TABLFs) are employed in each step of the backsstepping design and a novel control TABLF scheme is established to ensure the asymptotic output tracking performance.Abstract:
In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback systems with uncertain parameter. The full states of the systems are constrained in the bounded sets and the boundaries of sets are compelled in the asymmetric time-varying regions, i.e., the full state time-varying constraints are considered here. This is for the first time to control such a class of systems. To prevent that the constraints are overstepped, the time-varying asymmetric barrier Lyapunov functions (TABLFs) are employed in each step of the backsstepping design and we also establish a novel control TABLF scheme to ensure the asymptotic output tracking performance. The performances of the adaptive TABLF-based control are verified by a simulation example.read more
Citations
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Journal ArticleDOI
Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems
TL;DR: It is proved that under the presented control strategy, the system output tracks the reference signal in the sense of finite-time stability, the first time to handle the fault tolerant problem for switched system while the finite- time stability is also necessary.
Journal ArticleDOI
Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay
TL;DR: An appropriate barrier Lyapunov function and an opportune backstepping design are used to avoid the constraint violation, and the Pade approximation and an intermediate variable are employed to eliminate the effect of the input delay.
Journal ArticleDOI
Adaptive Fuzzy Output Feedback Control for a Class of Nonlinear Systems With Full State Constraints
TL;DR: It is proved that the system output is driven to track the reference signal to a bounded compact set, all the signals in the closed-loop system are guaranteed to be bounded, and all the states do not transgress their constrained sets.
Journal ArticleDOI
Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints
TL;DR: An adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems.
Journal ArticleDOI
Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints
TL;DR: A high-order tan-type barrier Lyapunov function (BLF) is constructed to handle the full-state constraints of the control systems and by the BLF and combining a backstepping design technique, an adding a power integrator, and a fuzzy control, the proposed approach can control high- order uncertain nonlinear system with full- state constraints.
References
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Journal ArticleDOI
Research on the Intelligent Control and Simulation of Automobile Cruise System Based on Fuzzy System
TL;DR: In this article, an intelligent cruise control strategy based on the throttle or braking pedal combined control adopting the fuzzy control theory is presented. But the control strategy is limited to the conditions of keeping the safety distance and constant velocity cruise.
Posted Content
Data-based approximate policy iteration for nonlinear continuous-time optimal control design
TL;DR: A model-free policy iteration algorithm is derived for constrained optimal control problem and its convergence is proved, which can learn the solution of HJB equation and optimal control policy without requiring any knowledge of system mathematical model.
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