Intelligent Adaptive Cooperative Control for Complex Nonlinear Systems introduces new intelligent adaptive control strategies for solving problems that occur in external disturbances, faults, communication burden, input saturation, dead zone and unmeasured states. The book focuses on intelligent adaptive cooperative control for stochastic systems and semi-Markov jump systems and systematically introduces basic theory and methods. The valuable resource promotes the development of intelligent adaptive cooperative control for complex nonlinear systems, and is a useful resource for researchers, scholars, engineering experts and graduate students in the field of intelligent control, control and mathematics, industrial mathematics, mechatronics and engineering.
Table of Contents
1. Introduction2. Adaptive NN Finite-Time Control of Constrained Nonlinear Systems
3. Observer-Based Adaptive Fuzzy Control for State Constrained Nonlinear Systems
4. Event-Triggered Adaptive Tracking Control for Non-affine Systems
5. Adaptive Control for multiagent Systems with Unknown Control Directions
6 Event-Triggered Adaptive Control for multiagent Systems with Disturbances
7 Adaptive Fuzzy Containment Control with Unknown Disturbances
8. Adaptive Control for Nonlinear Strict-Feedback Stochastic Systems
9. Cooperative Fault-Tolerant Control for Stochastic Nonlinear Systems
10. Dynamic Surface Control for Stochastic Nonlinear Systems
11. Fault Detection for Semi-Markov jump systems
12.� Adaptive Fuzzy Bipartite Tracking Control for Stochastic Nonlinear Systems
