๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Symmetric singular linear control systems

โœ Scribed by R. Bru; C. Coll; N. Thome

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
407 KB
Volume
15
Category
Article
ISSN
0893-9659

No coin nor oath required. For personal study only.

โœฆ Synopsis

the group inverse, an explicit solution to a symmetric singular system is described. The general explicit solution is derived when the symmetric singular system satisfies the regularity condition.

Certain special properties of these singular systems are presented. Finally, a symmetric balanced realization is obtained from an equivalent standard control system.

๐Ÿ“œ SIMILAR VOLUMES

Linear control laws for singular linear
Linear control laws for singular linear systems
โœ Sobral, Manoel (author) ๐Ÿ“‚ Article ๐Ÿ“… 1964 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 551 KB

For a class of quadratic performance indices the optimal control law is a combination of maximum effort (bang-bang) and singular. The singular control law is linear and it is optimal in a hyperplane in the n-dimensional state-space. For practical purposes it is desirable to restrict the class of adm

Singular control of stochastic linear sy
Singular control of stochastic linear systems with recursive utility
โœ Bo Wang ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 379 KB

We formulate a class of singular stochastic control problem with recursive utility where the cost function is determined by a backward stochastic di erential equation. Some characteristics of the value function of the control problem are obtained by the method of approximation via penalization, and

Optimal control of singular systems via
Optimal control of singular systems via piecewise linear polynomial functions
โœ Mohsen Razzaghi; Hamid-Reza Marzban ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 83 KB

## Abstract A method for finding the optimal control of linear singular systems with a quadratic cost functional using piecewise linear polynomial functions is discussed. The state variable, state rate, and the control vector are expanded in piecewise linear polynomial functions with unknown coeffi