Authors:
Valery Y. Glizer
1
and
Oleg Kelis
2
Affiliations:
1
ORT Braude College of Engineering, Israel
;
2
ORT Braude College of Engineering and University of Haifa, Israel
Keyword(s):
H¥ Control Problem, Singular Problem, Regularization, H¥ Partial Cheap Control Problem, Riccati Matrix Algebraic Equation, Asymptotic Design of Controller.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Evolutionary Computation and Control
;
Health Engineering and Technology Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge-Based Systems
;
Optimization Algorithms
;
Symbolic Systems
Abstract:
We consider an infinite horizon H¥ control problem for linear systems with additive uncertainties (disturbances).
The case of a singular weight matrix for the control cost in the cost functional is treated. In such a
case, a part of the control coordinates is singular, meaning that the H¥ control problem itself is singular. We
solve this problem by a regularization. Namely, we associate the original singular problem with a new H¥
control problem for the same equation of dynamics. The cost functional in the new problem is the sum of the
original cost functional and an infinite horizon integral of the squares of the singular control coordinates with
a small positive weight. This new H¥ control problem is regular, and it is a partial cheap control problem.
Based on an asymptotic analysis of this H¥ partial cheap control problem, a controller solving the original
singular H¥ control problem is designed. Illustrative example is presented.