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access icon free Observer-based adaptive control using multiple-models switching and tuning

  • Author(s): Leonardo Giovanini 1 ; Guido Sanchez 1 ; Mouhacine Benosman 2
    • View affiliations
    • Affiliations: 1: National Council for Scientific and Technological Research and Centre for Signals, Systems and Computational Intelligence, Faculty of Engineering and Water Sciences, Universidad Nacional del Litoral, Santa Fe, Argentina;
      2: Temasek Laboratories, National University of Singapore, 5A, Engineering Drive 1, 9-02, Singapore 117411, Singapore
  • Source: Volume 8, Issue 4, 06 March 2014, p. 235 – 247
    DOI:  10.1049/iet-cta.2013.0242 , Print ISSN 1751-8644, Online ISSN 1751-8652
© The Institution of Engineering and Technology
Received 21/03/2013, Accepted 28/10/2013, Revised 08/10/2013, Published 06/02/2014

Despite the remarkable theoretical accomplishments and successful applications of adaptive control, this field is not mature enough to solve challenging problems where strict performance and robustness guarantees are required. The needs of an approach that explicitly accounts for robust performance and stability specifications is a critical to the design of practical adaptive control systems. Towards this goal, this study extends the robust adaptive controller using multiple models, switching and tuning to multiple input multiple output and non-linear systems. The use of ‘extended superstability’, instead of superstability, allows us to establish overall performance guarantees and reduce the conservativeness of the resulting closed-loop system. The authors show that under the proposed framework, the output and states remain bounded for bounded disturbances, as a direct consequence of the passivation properties of superstability. The effectiveness of the proposed algorithm is demonstrated in numerical simulations of a non-linear continuous stirred tank reactor.

Inspec keywords: observers; adaptive control; control system synthesis; MIMO systems; closed loop systems; nonlinear control systems; robust control; time-varying systems

Other keywords: closed-loop system; extended superstability; nonlinear systems; MIMO systems; nonlinear continuous stirred tank reactor; control system design; robust performance; multiple-models tuning; stability specifications; observer-based adaptive control; multiple-models switching

Subjects: Stability in control theory; Nonlinear control systems; Self-adjusting control systems; Control system analysis and synthesis methods; Multivariable control systems; Time-varying control systems

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