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Algorithms for adaptive stochastic control for a class of linear systems
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Patel, R. V. Toda, M. |
| Copyright Year | 1977 |
| Description | Control of linear, discrete time, stochastic systems with unknown control gain parameters is discussed. Two suboptimal adaptive control schemes are derived: one is based on underestimating future control and the other is based on overestimating future control. Both schemes require little on-line computation and incorporate in their control laws some information on estimation errors. The performance of these laws is studied by Monte Carlo simulations on a computer. Two single input, third order systems are considered, one stable and the other unstable, and the performance of the two adaptive control schemes is compared with that of the scheme based on enforced certainty equivalence and the scheme where the control gain parameters are known. |
| File Size | 1690572 |
| Page Count | 44 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19770017899 |
| Archival Resource Key | ark:/13960/t5fb9vj6g |
| Language | English |
| Publisher Date | 1977-04-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Linear Systems Algorithms Discrete Functions Adaptive Control Monte Carlo Method Stochastic Processes Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
