학술논문

Relaxed Quadratic Stabilizability Criteria
Document Type
Conference
Source
1992 American Control Conference American Control Conference, 1992. :2891-2892 Jun, 1992
Subject
Robotics and Control Systems
Computing and Processing
Components, Circuits, Devices and Systems
Symmetric matrices
State feedback
Paper technology
Linear systems
Riccati equations
Null space
Magnetooptic recording
Information science
Lyapunov method
Robustness
Language
Abstract
The present paper points out that a well-known quadratic stabilizability condition of uncertain linear systems can be generalized by relaxing the positive definiteness constraint on the quadratic Lyapunov function. This result yields a simple criterion which is useful to preserve the quadratic stabilizability of the target system.