Energy-to-peak Mode-dependent Filter Design for Discrete-time Markovian Jump Linear Systems with Intermittent Measurements
In this paper,we investigate the robust energy-to-peak filtering for discrete-time Markovian jump linear systems with intermittent measurements.The intermittent measurements are modeled as a Bernoulli processwith a fixed probability.By defining the filtering error,an augmented estimation error system is obtained.Due to the existence of the stochastic variables,the exponentially mean-square stability and the robust energy-to-peak performance are both studied for the estimation error system.The widely-used Lyapunov theory is employed to investigate the stability and the energy-to-peak performance.Sufficient conditions expressed in the form of matrix inequalities are obtained.Since the estimator parameters and the Lyapunov weighting matrix to be determined are coupled with each other,a partition technique is utilized to decouple the estimator parameters and the Lyapunov weighting matrix.After defining several new parameters,we develop the design approach for the mode-dependent energy-to-peak estimator.The estimator parameters can be derived by solving a set of linear matrix inequalities.Finally,a numerical example is used to show the effectiveness of the proposed design approach.
Markovian jump linear systems energy-to-peak filtering mode-dependent filter linear matrix inequalities intermittent measurements
Haiyan Zhao Wenbai Li
College of Computer Science and Technology, Inner Mongolia University for the Nationalities, Tonglia College of Physics & Electronic Information Engineering, Wenzhou University, Wenzhou, China
国际会议
太原
英文
244-247
2012-08-17（万方平台首次上网日期，不代表论文的发表时间）