Improved multiplex control systems: dynamic reliability and stochastic optimality
- 1 July 1986
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 44 (1) , 219-234
- https://doi.org/10.1080/00207178608933592
Abstract
Redundant control systems are considered in the modelling context of stochastic jump linear processes. Optimal control problems are formulated for a quadratic performance index and solved for different classes of feedback laws and on-line information structures. The resulting control algorithms provide stochastic optimality together with dynamic reliability, thus improving previous conservative solutions based on a notion of stochastic stabilityKeywords
This publication has 15 references indexed in Scilit:
- Output feedback for a class of linear systems with stochastic jump parametersIEEE Transactions on Automatic Control, 1985
- Process fault detection based on modeling and estimation methods—A surveyAutomatica, 1984
- A singular perturbation model of reliability in systems controlAutomatica, 1984
- Multiplex control systems: stochastic stability and dynamic reliabilityInternational Journal of Control, 1983
- Feedback control of a class of linear discrete systems with jump parameters and quadratic cost criteria †International Journal of Control, 1975
- Differential inequalities and stability and boundedness of stochastic differential equationsJournal of Mathematical Analysis and Applications, 1974
- Optimal limited state variable feedback controllers for linear systemsIEEE Transactions on Automatic Control, 1971
- Suboptimal control of linear time-invariant systems subject to control structure constraintsIEEE Transactions on Automatic Control, 1970
- The matrix minimum principleInformation and Control, 1967
- Reliable circuits using less reliable relaysJournal of the Franklin Institute, 1956