Data-based control trajectory planning for nonlinear systems

Carl Rhodes, Manfred Morari, Lev S. Tsimring, and Nikolai F. Rulkov
Phys. Rev. E 56, 2398 – Published 1 September 1997
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Abstract

An open-loop trajectory planning algorithm is presented for computing an input sequence that drives an input-output system such that a reference trajectory is tracked. The algorithm utilizes only input-output data from the system to determine the proper control sequence, and does not require a mathematical or identified description of the system dynamics. From the input-output data, the controlled input trajectory is calculated in a “one-step-ahead” fashion using local modeling. Since the algorithm is calculated in this fashion, the output trajectories to be tracked can be nonperiodic. The algorithm is applied to a driven Lorenz system, and an experimental electrical circuit and the results are analyzed. Issues of stability associated with the implementation of this open-loop scheme are also examined using an analytic example of a driven Hénon map, problems associated with inverse controllers are illustrated, and solutions to these problems are proposed.

  • Received 12 November 1996

DOI:https://doi.org/10.1103/PhysRevE.56.2398

©1997 American Physical Society

Authors & Affiliations

Carl Rhodes

  • Chemical Engineering 210-41, California Institute of Technology, Pasadena, California 91125

Manfred Morari

  • ETH–Institut für Automatik, ETH-Z/ETL, CH-8092 Zürich, Switzerland

Lev S. Tsimring and Nikolai F. Rulkov

  • Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093-0402

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Vol. 56, Iss. 3 — September 1997

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