Digital stochastic control of distributed-parameter systems

This paper presents a method for discrete-time control and estimation applicable to flexible structures in the presence of actuators and sensors noise. The approach consists of complete decoupling of the modal plant and estimator dynamics based on the independent modal-space control (IMSC) technique and modal spatial filtering of the system output. The solution for the Kalman filter gains reduces to that of independent second-order modal estimators, thus permitting real-time computation for digital control of distributed-parameter systems in a noisy environment. The method can control and estimate any number of modes without computational restraints and is theoretically free of observation spillover. Two examples, the first using nonlinear, quantized control and the second using linear, state feedback control are presented.