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Immersion and invariance adaptive control of a class of continuous stirred tank reactors

Immersion and invariance adaptive control of a class of continuous stirred tank reactors
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摘要 An immersion and invariance (l&l) manifold based adaptive control algorithm is presented for a class of continuous stirred tank reactors (CSTR) to realize performance-oriented control in this paper. The nonlinear contraction method is combined into the control law design to render the closed-loop CSTR system globally asymptotically stable, firstly. Then, the l&l method is used to form the adaptation law such that the off-the-manifold coordinate (the parameter estimation error) converges to zero using P-monotone property enforced by selecting tuning function in manifold. As a result, the state of the closed-loop CSTR converges to its desired value asymptotically. The simulation is given to illustrate the effectiveness of the presented algorithm. An immersion and invariance (l&l) manifold based adaptive control algorithm is presented for a class of continuous stirred tank reactors (CSTR) to realize performance-oriented control in this paper. The nonlinear contraction method is combined into the control law design to render the closed-loop CSTR system globally asymptotically stable, firstly. Then, the l&l method is used to form the adaptation law such that the off-the-manifold coordinate (the parameter estimation error) converges to zero using P-monotone property enforced by selecting tuning function in manifold. As a result, the state of the closed-loop CSTR converges to its desired value asymptotically. The simulation is given to illustrate the effectiveness of the presented algorithm.
出处 《Control Theory and Technology》 EI CSCD 2015年第1期37-43,共7页 控制理论与技术(英文版)
基金 supported by National Science Foundation of China(No.61320106009) Open Research Project of the State Key Laboratory of Industrial Control Technology,Zhejiang University,China(No.ICT1433)
关键词 CSTR adaptive control I&l nonlinearly parameterized uncertainty CSTR, adaptive control, I&l, nonlinearly parameterized uncertainty
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参考文献15

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