Journal
SCIENCE CHINA-INFORMATION SCIENCES
Volume 64, Issue 10, Pages -Publisher
SCIENCE PRESS
DOI: 10.1007/s11432-021-3293-0
Keywords
stochastic high-order nonlinear systems; full-state constraints; feasibility conditions; statefeedback stabilization; adaptive control
Funding
- Taishan Scholar Project of Shandong Province of China [ts201712040]
- National Natural Science Foundation of China [62073186]
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This paper introduces an adaptive state-feedback strategy for state-constrained stochastic high-order nonlinear systems. The new adaptive controller, developed through the inclusion of a power integrator and adaptive backstepping techniques, ensures stability of the system and boundedness of signals.
This paper presents an adaptive state-feedback strategy for state-constrained stochastic high-order nonlinear systems. By adding a power integrator and adaptive backstepping techniques, a new adaptive controller is constructed without imposing feasibility conditions, which guarantees that all closed-loop signals are bounded almost surely, full-state constraints are not violated almost surely, and the trivial solution of the closed-loop system is stochastically asymptotically stable.
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