This paper considers the problem of adaptive LQG control design when the system control input is subject to an amplitude constraint. A first-order stochastic system is considered mainly because its output can be satisfactorily described by a Gaussian probability density function (PDF) or can be calc
Adaptive LQG control of positive real systems
β Scribed by R. Garrido-Moctezuma; D. A. Suarez; R. Lozano
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 139 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0890-6327
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β¦ Synopsis
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 standard least-squares algorithm and through a suitably defined parameter modification, the plant estimates are constrained to a region in the parameter 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.
π SIMILAR VOLUMES
An adaptive modal positive position feedback (AMPPF) method is presented for controlling the vibration and shape of flexible structures. The proposed strategy combines the attractive attributes of the independent modal space control (IMSC) of Meirovitch and the positive position feedback (PPF) of Go