New approaches to robust Woo and H_∞ filtering for uncertain discrete-time systems

• 作 者: 高会军 王常虹
• 机 构: Department of Control Science and Engineering,Harbin Institute of Technology Harbin China 150001,Dep
• 出 处: Science in China(Series F:Information Sciences)
• 发表日期: 2003年05期
• 关键词: filtering uncertain conservative prescribed admissible interior quadratic matric

The problems of robust I2-I∞ and H∞ filtering for discrete-time systems with parameter uncertainty residing in a polytope are investigated in this paper. The filtering strategies are based on new robust performance criteria derived from a new result of parameter-dependent Lyapunov stability condition, which exhibit less conservativeness than previous results in the quadratic framework. The designed filters guaranteeing a prescribed I2-I∞ or H∞ noise attenuation level can be obtained from the solution of convex optimization problems, which can be solved via efficient interior point methods. Numerical examples have shown that the filter design procedures proposed in this paper are much less conservative than earlier results.

The problems of robust I2-I∞ and H∞ filtering for discrete-time systems with parameter uncertainty residing in a polytope are investigated in this paper. The filtering strategies are based on new robust performance criteria derived from a new result of parameter-dependent Lyapunov stability condition, which exhibit less conservativeness than previous results in the quadratic framework. The designed filters guaranteeing a prescribed I2-I∞ or H∞ noise attenuation level can be obtained from the solution of convex optimization problems, which can be solved via efficient interior point Numerical examples have shown that the filter design procedures proposed in this paper are much less conservative than older results.