Title :
Fault accommodation of a class of multivariable nonlinear dynamical systems using a learning approach
Author :
Polycarpou, Marios M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
fDate :
5/1/2001 12:00:00 AM
Abstract :
Presents a learning approach for accommodating faults occurring in a class of nonlinear multi-input-multi-output (MIMO) dynamical systems. Changes in the system dynamics due to a fault are modeled as unknown nonlinear functions of the measurable state variables. The closed-loop stability of the robust fault accommodation scheme is established using Lyapunov redesign methods. A simulation example, based on a model of a jet engine compression system, is used to illustrate the fault accommodation design procedure
Keywords :
Lyapunov methods; MIMO systems; aerospace engines; compressors; fault tolerance; learning (artificial intelligence); neural nets; nonlinear control systems; nonlinear dynamical systems; stability; Lyapunov redesign methods; closed-loop stability; fault accommodation; jet engine compression system; learning approach; measurable state variables; multivariable nonlinear dynamical systems; nonlinear multi-input-multi-output dynamical systems; unknown nonlinear functions; Aerodynamics; Automatic control; Computational efficiency; Control systems; Costs; Dynamic programming; Manufacturing; Mathematics; Nonlinear dynamical systems; Optimal control;
Journal_Title :
Automatic Control, IEEE Transactions on
