Bounded-disturbance adaptive control with exponential and selective data weightings. (English) Zbl 0613.93036
A method of combination of selective and exponential data-weighting algorithms for parameter identification is proposed. Bounded disturbances in systems with unknown statistical properties are considered. The proposed method ensures a stable control system. In addition, it does not need the condition of persistent excitation when the predicted output error is small.
MSC:
| 93C40 | Adaptive control/observation systems |
| 93E12 | Identification in stochastic control theory |
| 93E25 | Computational methods in stochastic control (MSC2010) |
| 62M20 | Inference from stochastic processes and prediction |
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