R. Garridomoctezuma et al., ADAPTIVE LQG CONTROL OF POSITIVE REAL SYSTEMS, International journal of adaptive control and signal processing, 12(5), 1998, pp. 437-449
An adaptive control law for PR plants is proposed. The main feature of
this approach is that the role of adaptation is not to stabilize the
plant but to improve performance. The plant is identified using a stan
dard least-squares algorithm and through a suitably defined parameter
modification, the plant estimates are constrained to a region in the p
arameter space corresponding to Positive Real Observable Controllable
plants. Using these estimates an adaptive LQG disipative controller is
designed which trivialy stabilizes the plant. Simulation results are
presented. (C) 1998 John Wiley & Sons, Ltd.