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RESEARCH PRODUCT

Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients

Changyun WenJiangshuai HuangJing ZhouWei Wang

subject

Scheme (programming language)0209 industrial biotechnologyClass (set theory)Adaptive controlComputer scienceStability (learning theory)02 engineering and technologyFunction (mathematics)Nonlinear systemAdaptive Control020901 industrial engineering & automationControl and Systems EngineeringControl theory0202 electrical engineering electronic engineering information engineeringKey (cryptography):Electrical and electronic engineering [Engineering]020201 artificial intelligence & image processingElectrical and Electronic EngineeringUnknown Control DirectionsControl (linguistics)computercomputer.programming_language

description

Abstract In this paper, robust adaptive control of a class of strict-feedback nonlinear systems with unknown control directions is investigated. A novel Nussbaum-type function is developed and a key theorem is drawn which involves quantifying the addition of multiple Nussbaum functions with different control directions in a single inequality. Global stability of the closed-loop system and asymptotic stabilization of system output are proved. A simulation example is given to illustrate the effectiveness of the proposed control scheme.

10.1016/j.automatica.2018.03.061https://hdl.handle.net/10356/137801