A Resilient Inverse Optimal Strategy for Industrial Cyber-Physical Systems With Unknown Nonlinearities, Disturbances, and Actuator Attacks

Output‐Feedback Adaptive Fuzzy Inverse Optimal Tracking Control for Hybrid‐Attack‐Affected Nonlinear Cyber‐Physical Systems

This work investigates adaptive inverse optimal tracking control for strict‐feedback nonlinear cyber‐physical systems (CPS) under hybrid cyber attacks, including false data injection (FDI) and denial of service (DoS). Initially, assumptions about the attack model are made and a new observer based on measurable signal...

Adaptive fuzzy control for full-state constrained stochastic nonlinear systems with dead zone and multiple faults

This article investigates adaptive fuzzy control for stochastic nonlinear systems subject to multiple practical imperfections, including input dead-zone nonlinearities, time-varying sensor faults, state-dependent actuator faults, and full-state constraints. A novel adaptive fuzzy control scheme is developed via a recur...

Predefined-Time Resilient Integral Reinforcement Learning for Input-Constrained Unknown Nonlinear Systems Under FDI Attacks and Disturbances: A Fully Data-Driven Approach

A learning-based control method that allows the designer to prescribe the desired convergence time in advance and an integral reinforcement-learning framework is proposed to avoid requiring exact knowledge of the system dynamics while ensuring that the control input always satisfies the actuator constraints.

Robust Adaptive Sliding Mode Fault‐Tolerant Control for Uncertain Linear Systems: Prescribed Sliding Band Approach

This article presents the fault‐tolerant control (FTC)for a class of uncertain linear systems with disturbances through sliding mode (SM) methodology. By leveraging the property of exponentially decaying barrier Lyapunov function and a modified nonlinear sliding variable, a novel robust SM FTC is developed. Unlike th...

Practical and Exponential Stabilization of Takagi–Sugeno Fuzzy Systems Under Unknown Time‐Varying Delays

This article addresses the practical and exponential stabilization of Takagi–Sugeno (T–S) fuzzy systems subject to unknown time‐varying delays and heterogeneous perturbations. Two state‐feedback controllers are proposed: a practical stabilizer that drives the trajectories into a prescribed residual set and an exponen...

Fuzzy adaptive feedback linearization and sliding mode control for drone position tracking