๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Linear-quadratic optimal control with integral quadratic constraints

โœ Scribed by A. E. B. Lim; Y. Q. Liu; K. L. Teo; J. B. Moore


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
128 KB
Volume
20
Category
Article
ISSN
0143-2087

No coin nor oath required. For personal study only.

โœฆ Synopsis


We derive closed-form solutions for the linear-quadratic (LQ) optimal control problem subject to integral quadratic constraints. The optimal control is a non-linear function of the current state and the initial state. Furthermore, the optimal control is easily calculated by solving an unconstrained LQ control problem together with an optimal parameter selection problem. Gradient formulae for the cost functional of the optimal parameter selection problem is derived. Application to minimax problems is given. The method is illustrated in a numerical example.


๐Ÿ“œ SIMILAR VOLUMES


Simultaneous linear-quadratic optimal co
โœ James Lam; Yong-Yan Cao ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 90 KB ๐Ÿ‘ 1 views

In this paper, the problem of designing a "xed static output feedback control law which minimizes an upper bound on linear quadratic (LQ) performance measures for r distinct MIMO plants is addressed using linear matrix inequality (LMI) technique. An iterative LMI algorithm is proposed to obtain the

Bilinear quadratic optimal control: a re
โœ B. Chanane ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 106 KB ๐Ÿ‘ 1 views

This paper deals with the time-varying bilinear quadratic optimal control problem. Using Adomian's decomposition method, we shall first derive a functional expansion for the input-output map of the system, then transform the cost functional so that it yields the optimal control in a recursive manner

Short communication: A collocation-type
โœ GAMAL N. ELNAGAR; MOHSEN RAZZAGHI ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 299 KB

This communication presents a spectral method for solving time-varying linear quadratic optimal control problems. Legendre-Gauss-Lobatto nodes are used to construct the mth-degree polynomial approximation of the state and control variables. The derivative x (t) of the state vector x(t) is approximae

On the robustness of jump linear quadrat
โœ E.-K. Boukas; A. Swierniak; H. Yang ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 127 KB ๐Ÿ‘ 1 views

This paper deals with the problem of how to render the jump linear quadratic (JLQ) control robust. Mainly, we present sufficient conditions for quadratic stabilization and guaranteed cost control of uncertain jump linear system using state feedback control. The proposed control law contains two comp