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A self-tuning control method for Wiener nonlinear systems and its application to process control problems 被引量:1
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作者 Ping Yuan Bi Zhang Zhizhong Mao 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2017年第2期193-201,共9页
Many chemical processes can be modeled as Wiener models, which consist of a linear dynamic subsystem followed by a static nonlinear block. In this paper, an effective discrete-time adaptive control method is proposed ... Many chemical processes can be modeled as Wiener models, which consist of a linear dynamic subsystem followed by a static nonlinear block. In this paper, an effective discrete-time adaptive control method is proposed for Wiener nonlinear systems with uncertainties. The parameterization model is derived based on the inverse of the nonlinear function block. The adaptive control method is motivated by self-tuning control and is derived from a modified Clarke criterion function, which considers both tracking properties and control efforts. The uncertain parameters are updated by a recursive least squares algorithm and the control law exhibits an explicit form. The closed-loop system stability properties are discussed. To demonstrate the effectiveness of the obtained results, two groups of simulation examples including an application to composition control in a continuously stirred tank reactor(CSTR) system are studied. 展开更多
关键词 Wiener systemsadaptive controlUncertaintiesStabilityCSTR
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