Izhak Bar-Kana

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A new representation of discrete stochastic linear time-invariant systems is presented. This representation generalizes in a rigorous way the concept of observability to parameters identifiability. The state of the augmented system is a combination of the state of the orginal system and the unknown parameters. It is shown that simultaneous state(More)
A new representation of linear time-invariant systems is presented. This representation enables to generate necessary and sufficient conditions on the simultaneous state observability and parameters identifiability of linear time-invariant systems. Sufficient conditions derived from the necessary and sufficient conditions are weaker than the well known(More)
This paper combines the simple technique for adaptive robot control proposed by Bar-Kana and Guez and the exploratory lerning schedule proposed by Selinsky and Guez into a unified two degrees of freedom (DOF) robot controller, thereby improving the performance of both approaches. We first briefly summarize both approaches. We then propose our new 2 DOF(More)
An approach for online identification and control that requires weaker excitation than the existing approaches based on least-squares schemes and closed-loop systems is examined. It uses multiple-objective optimization theory to resolve the conflict between identification and controller performance as they compete for the only available resource, the inputs(More)
This paper applies a new approach to the classical adaptive control problem. The approach is based on the inherent conflict between control and identification as they are competing for the only available resource, namely the input to the plant. The theory developed for general nonlinear time varying systems is applied to linear time-invariant system. The(More)
This paper presents a simple adaptive devise for robust stability of power systems in the presence of time-varying parameters. Power systems are complex control systems with uncertain and time-varying parameters. For a first introduction of the idea we use a simplified generator excitation control system. Due to uncertain time-varying loads and parameters,(More)
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