A unified neural event-triggered control approach of high-order switched uncertain systems with time-varying state constraints
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Abstract
Purpose This work proposes a unified adaptive event-triggered tracking control scheme for high-order switched uncertain nonlinear systems, subject to asymmetric time-varying state constraints. The purpose of this paper is to guarantee closed-loop stability and boundedness under average dwell time switching while reducing communication load. Design/methodology/approach System uncertainties are approximated via neural networks, and finite-time differentiators are used to prevent the “explosion of complexity” in backstepping. High-order terms are handled with separable functions and auxiliary lemmas instead of power integrators. Furthermore, a universal-constrained nonlinear function and coordinate…
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Topics
Keywords
- Control theory (sociology)
- Robustness (evolution)
- Nonlinear system
- Embedding
- Adaptive control
- Controller (irrigation)
- Dwell time
- Stability (learning theory)
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