Aerospace Instrument-Making Annotation << Back NONLINEAR PLANT LINEAR MODEL STATIC AND DYNAMIC UNSTRUCTURED UNCERTAINTY ESTIMATION FOR SENSOR AND ACTUATOR FAILURE DETECTION ALGORITHM ROBUSTNESS TESTING R.L. Leibov, This paper presents nonlinear plant linear model static and dynamic unstructured uncertainty estimation technique using linear programming. Sensor and actuator failure detection and isolation most important component Kalman fi lter robustness testing technique is presented also. Key words: nonlinear plant, linear model, static and dynamic unstructured uncertainty, linear programming, Kalman fi lter robustness, sensor and actuator failure detection and isolation algorithms. Contacts: E-mail: r_leibov@mtu-net.ru Pp. 28-43.