An algorithm for design via parameter optimization has been developed for linear-time-invariant control systems based on the model reference adaptive control concept. A cost functional is defined to evaluate the system response relative to nominal, which involves in general the error between the system and nominal response, its derivatives and the control signals. A program for the practical implementation of this algorithm has been developed, with the computational scheme for the evaluation of the performance index based on Lyapunov's theorem for stability of linear invariant systems
The design of closed-loop adaptive control systems based on nonparametric identification was address...
This thesis sets out to compare five well known design rules for the design of model reference adapt...
A new model reference adaptive control scheme, suitable for linear multivariable discrete time syste...
Parameter optimization techniques for the design of linear automatic control systems that are applic...
The numerical operations involved in a currently used optimization technique are discussed and analy...
Computationally useful algorithms are considered that can aid the control engineer in designing syst...
Analysis and synthesis techniques for linear systems and methods of minimizing sensitivity of optima...
The derivation of an approximate error characteristic equation describing the transient system error...
Some problems associated with the design of model-reference adaptive control systems are considered ...
Problem. The problem investigates the design of an optimum control system whose system response is t...
This paper presents a new adaptive control ap- proach that involves a performance optimization objec...
This thesis is intended to provide a general design criterion f or the development of adaptive contr...
A model-referenced adaptive controller for a first-order plant with time-varying parameters is devel...
Theoretical development is reported for the parameter optimization design technique needed for digit...
A reliable algorithm for the evaluation of a quadratic performance index and its gradients with resp...
The design of closed-loop adaptive control systems based on nonparametric identification was address...
This thesis sets out to compare five well known design rules for the design of model reference adapt...
A new model reference adaptive control scheme, suitable for linear multivariable discrete time syste...
Parameter optimization techniques for the design of linear automatic control systems that are applic...
The numerical operations involved in a currently used optimization technique are discussed and analy...
Computationally useful algorithms are considered that can aid the control engineer in designing syst...
Analysis and synthesis techniques for linear systems and methods of minimizing sensitivity of optima...
The derivation of an approximate error characteristic equation describing the transient system error...
Some problems associated with the design of model-reference adaptive control systems are considered ...
Problem. The problem investigates the design of an optimum control system whose system response is t...
This paper presents a new adaptive control ap- proach that involves a performance optimization objec...
This thesis is intended to provide a general design criterion f or the development of adaptive contr...
A model-referenced adaptive controller for a first-order plant with time-varying parameters is devel...
Theoretical development is reported for the parameter optimization design technique needed for digit...
A reliable algorithm for the evaluation of a quadratic performance index and its gradients with resp...
The design of closed-loop adaptive control systems based on nonparametric identification was address...
This thesis sets out to compare five well known design rules for the design of model reference adapt...
A new model reference adaptive control scheme, suitable for linear multivariable discrete time syste...