Quantum mechanics

Function (biology)

Automatic gain control

Adaptive control

Control (management)

Scheme (mathematics)

Engineering

Biology

Bandwidth (computing)

Event (particle physics)

Actuator

Networked control system

Constraint (computer-aided design)

Telecommunications

Amplifier

Computer science

Bounded function

Controller (irrigation)

Evolutionary biology

Mechanical engineering

Physics

Nonlinear system

Mathematics

Agronomy

Lyapunov function

Mathematical analysis

Artificial intelligence

Control theory (sociology)

Nonlinear Analysis Hybrid Systems

This paper investigates the problem of event-triggered tracking control for switched networked nonlinear systems with asymmetric time-varying output constraints. To handle the output constraints, an output-dependent generic constraint function is constructed to describe relationship between the output and the performance requirement. Meanwhile, an event-triggering rule is designed to reduce communication frequency between the controller and the actuator, thereby reducing the burden of the network communication. Based on the common Lyapunov function method and event-triggered control strategy, an adaptive control method is designed, which can guarantee that the closed-loop signals are bounded and avoid the Zeno behavior. Different from existing results considering constraints, the proposed scheme not only relaxes the restricted condition of constraint boundaries but also both the cases with and without output constraints can be addressed simultaneously. Furthermore, the stability of the system can be guaranteed by the small-gain technique. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed scheme.

Small-gain technique-based adaptive output constrained control design of switched networked nonlinear systems via event-triggered communications