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Optimal regulation in systems with stochastic time sampling
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Lee, P. S. Montgomery, R. C. |
| Copyright Year | 1980 |
| Description | An optimal control theory that accounts for stochastic variable time sampling in a distributed microprocessor based flight control system is presented. The theory is developed by using a linear process model for the airplane dynamics and the information distribution process is modeled as a variable time increment process where, at the time that information is supplied to the control effectors, the control effectors know the time of the next information update only in a stochastic sense. An optimal control problem is formulated and solved for the control law that minimizes the expected value of a quadratic cost function. The optimal cost obtained with a variable time increment Markov information update process where the control effectors know only the past information update intervals and the Markov transition mechanism is almost identical to that obtained with a known and uniform information update interval. |
| File Size | 935678 |
| Page Count | 30 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19810004301 |
| Archival Resource Key | ark:/13960/t9b61cv50 |
| Language | English |
| Publisher Date | 1980-11-01 |
| Access Restriction | Open |
| Subject Keyword | Systems Analysis Markov Processes Aerodynamics Microprocessors Time Optimal Control Stochastic Processes Optimal Control Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
