The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-varying systems. When we define the L_2-induced norm as "H- norm", the optimal "H_∞ norm" computation problem can be formulated as a minimax problem involving control and exogenous inputs. Our approach is as follows. First, we derive analytical solutions for the minimax problems with the exogenous inputs being frozen. Secondly, we present an algorithm for numerical solutions of the minimax problem with the control being frozen : Here, we prove that accumulation points generated by the algorithm satisfy the necessary conditions for optimality. Thirdly, combining the two above-mentioned techniques, we propose a relatively simple method for minimax ...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.The application of this contr...
In this paper we consider a mixed H2/H[infinity]-optimal control problem. It is assumed that the pla...
This work deals with the optimization, expressed as the minimization of the l2 norm of the tracking ...
We study the standard H∞ optimal control problem using state feedback for smooth nonlinear control s...
AbstractNumerical computation of the optimal H∞ norms for the state feedback and the output feedback...
This article deals with the optimization, expressed as the minimization of the l2 norm of the tracki...
We study the standard H∞ optimal control problem using state feedback for smooth nonlinear control s...
The problem is considered of bounding the H∞-norm of the transfer functio Ty1u1 relating the output ...
We explore an optimization problem which arises naturally in the design of feedback controllers to a...
In this paper we consider the problem of minimizing the H_2 norm of a closed-loop map over all stati...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Determining the induced L2 norm of a linear, parameter-varying (LPV) system is an integral part of m...
For a linear time invariant system, the infinity-norm of the transfer function can be used as a meas...
This paper studies computation of ℓ2[0, h] induced norms of finite-dimensional linear systems. The p...
A mixed-norm approach to control synthesis for discrete time linear systems is developed. Specifical...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.The application of this contr...
In this paper we consider a mixed H2/H[infinity]-optimal control problem. It is assumed that the pla...
This work deals with the optimization, expressed as the minimization of the l2 norm of the tracking ...
We study the standard H∞ optimal control problem using state feedback for smooth nonlinear control s...
AbstractNumerical computation of the optimal H∞ norms for the state feedback and the output feedback...
This article deals with the optimization, expressed as the minimization of the l2 norm of the tracki...
We study the standard H∞ optimal control problem using state feedback for smooth nonlinear control s...
The problem is considered of bounding the H∞-norm of the transfer functio Ty1u1 relating the output ...
We explore an optimization problem which arises naturally in the design of feedback controllers to a...
In this paper we consider the problem of minimizing the H_2 norm of a closed-loop map over all stati...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Determining the induced L2 norm of a linear, parameter-varying (LPV) system is an integral part of m...
For a linear time invariant system, the infinity-norm of the transfer function can be used as a meas...
This paper studies computation of ℓ2[0, h] induced norms of finite-dimensional linear systems. The p...
A mixed-norm approach to control synthesis for discrete time linear systems is developed. Specifical...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.The application of this contr...
In this paper we consider a mixed H2/H[infinity]-optimal control problem. It is assumed that the pla...
This work deals with the optimization, expressed as the minimization of the l2 norm of the tracking ...