Ishak Bar-Kana

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Direct multivariable model reference adaptive control (DMMRAC) applications are considered with a representative example of a large structural system (LSS). Such applications have in the past been shown to be feasible for multivariable systems provided that there exists a constant feedback gain matrix such that the resulting input-output transfer function(More)
Direct model reference adaptive control procedures were developed to control linear plants which satisfy a positivity condition. Using a combination of proportional and integral adaptive gains these procedures achieved asymptotically perfect model output tracking with a large class of time-variable input commands. However, if perfect output tracking is not(More)
This paper presents a simple discrete adaptive control procedure that maintains global stability and robustness with respect to boundedness in the presence of any bounded input or output disturbances. The order of the plant and the pole-excess may be large and unkown, while the order of the controller may be very low. The present algorithm is restricted to(More)
Adaptive model reference procedures which do not require explicit parameter identification are considered for large scale systems. Such application is feasible provided that there exists a feed-back gain matrix such that the resulting input-output transfer function is strictly positive real. Consideration of a simply supported beam shows the positive real(More)
Direct multivariable model reference adaptive control (DMMRAC) procedures which are especially suitable for large scale structures (LSS) were in the past shown to be feasible provided that the input commands were constant. In this paper the feasibility of the MMRAC algorithms is extended to a large class of time-variable input commands.
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