H∞ filtering with randomly occurring sensor saturations and missing measurements

• Published in: Automatica (Oxford) Vol. 48; no. 3; pp. 556 - 562
• Main Authors: Wang, Zidong, Shen, Bo, Liu, Xiaohui
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.03.2012; Elsevier
• Subjects: Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Control system analysis; Control theory. Systems; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; Missing measurements; Modelling and identification; Nonlinear systems; Random incomplete information; Randomly occurring sensor saturations; Regional [formula omitted] filters; Signal and communications theory; Signal, noise; Software; Telecommunications and information theory; Missing measurements; Randomly occurring sensor saturations; Nonlinear systems; Random incomplete information; Regional H∞ filters; Probabilistic approach; Saturation; Measurement sensor; Gain margin; H infinite control; Non linear control; Semi definite programming; Conditional probability; filters; Non linear system; Modeling; Convex programming; Asymptotic stability; Uncertain system; Regional H; Filter; System identification; Incomplete information; Sensor array; Ellipsoid

In this paper, the H∞ filtering problem is investigated for a class of nonlinear systems with randomly occurring incomplete information. The considered incomplete information includes both the sensor saturations and the missing measurements. A new phenomenon of sensor saturation, namely, randomly oc...