Adaptive constrained control subject to both input-amplitude and input-velocity constraints
An adaptive constrained one-step-ahead controller is presented, which is appropriate for the case where the input steady-state value u/sub r/, corresponding to a desirable set-point y/sub r/, is known a priori. Specifically, it is the deterministic version of the generalized minimum variance control...
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          | Published in | IEEE International Conference on Systems, Man and Cybernetics, 1993 Vol. 4; pp. 601 - 606 vol.4 | 
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| Main Authors | , | 
| Format | Conference Proceeding | 
| Language | English | 
| Published | 
            IEEE
    
        1993
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| Subjects | |
| Online Access | Get full text | 
| ISBN | 9780780309111 0780309111  | 
| DOI | 10.1109/ICSMC.1993.390780 | 
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| Summary: | An adaptive constrained one-step-ahead controller is presented, which is appropriate for the case where the input steady-state value u/sub r/, corresponding to a desirable set-point y/sub r/, is known a priori. Specifically, it is the deterministic version of the generalized minimum variance controller, designed in such a way as to handle two kinds of constraints, namely, |u/sub r/(k)|/spl les/c and |u/sub r/(k)-u(k-1)|/spl les/w. It is shown that for a stable, discrete-time, either minimum or nonminimum phase system, this can be achieved by making a suitable online choice of the quantities l and Q(q/sup -1/). Apart from the well-known RLS and projection algorithms, any other recursive parameter estimation scheme can be applied, as far as it shares some of the basic properties of the above algorithms. The performance of the proposed controller is demonstrated by means of simulation.< > | 
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| ISBN: | 9780780309111 0780309111  | 
| DOI: | 10.1109/ICSMC.1993.390780 |