Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Volume 68, Issue 6, Pages 2626-2638Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSI.2021.3063084
Keywords
Fuzzy output-feedback control; stochastic non-linear systems; adding a power integrator; output constraints; state observer
Categories
Funding
- National Science Foundation of China [61973142]
- Jiangsu Natural Science Foundation for Distinguished Young Scholars [BK20180045]
- PAPD of Jiangsu Higher Education Institutions
- Six Talent Peaks Project in Jiangsu Province [XNYQC-006]
- National Research Foundation of Korea [2019R1A5A8080290]
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This paper addresses the control problem of p-norm stochastic nonlinear systems with output constraints, proposing an adaptive fuzzy output-feedback control strategy. By constructing a nonlinear observer and utilizing a barrier Lyapunov function, the proposed scheme ensures all signals of the closed-loop systems are bounded and do not violate output constraints.
This paper considers the control problem of p-norm stochastic nonlinear systems with output constraints, while the system nonlinearities are completely unknown and the system states are unavailable except the output. A nonlinear observer is constructed to estimate the unmeasurable states. Then, based on the constructed observer and a tan-type barrier Lyapunov function (BLF), an adaptive fuzzy output-feedback control strategy is developed by combining the technique of adding a power integrator with the fuzzy logic systems (FLSs). The proposed scheme enables that all the signals of the considered closed-loop systems are bounded in probability while the prespecified output constraint is not violated. Finally, a numerical example verifies the validation of the proposed scheme.
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