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Control theory for random systems
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Bryson Jr., A. E. |
| Copyright Year | 1972 |
| Description | A survey is presented of the current knowledge available for designing and predicting the effectiveness of controllers for dynamic systems which can be modeled by ordinary differential equations. A short discussion of feedback control is followed by a description of deterministic controller design and the concept of system state. The need for more realistic disturbance models led to the use of stochastic process concepts, in particular the Gauss-Markov process. A compensator controlled system, with random forcing functions, random errors in the measurements, and random initial conditions, is treated as constituting a Gauss-Markov random process; hence the mean-square behavior of the controlled system is readily predicted. As an example, a compensator is designed for a helicopter to maintain it in hover in a gusty wind over a point on the ground. |
| File Size | 1521966 |
| Page Count | 52 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19730015532 |
| Archival Resource Key | ark:/13960/t7tn2085g |
| Language | English |
| Publisher Date | 1972-09-01 |
| Access Restriction | Open |
| Subject Keyword | Electronics Digital Computers Gauss-markov Theorem Stochastic Processes Differential Equations Control Theory Random Processes Riccati Equation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
