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N. Krasovskii, A. Subbotin, S. Kotz (1987)
Game-Theoretical Control Problems
R. Bellman, R. Kalaba (1966)
Dynamic Programming and Modern Control Theory
A.B. Kurzhanski, T.F. Filippova (1993)
Adv. Nonlinear Dynam. Control
A. Kurzhanski (2005)
On the Problem of Measurement Feedback Control: Ellipsoidal Techniques
A. Kurzhanski, T. Filippova (1993)
On the Theory of Trajectory Tubes — A Mathematical Formalism for Uncertain Dynamics, Viability and Control
M.R. James, J.S. Baras (1996)
Partially Observed Differential Games, Infinite-Dimensional Hamilton-Jacobi-Isaacs Equations and Nonlinear H ∞ ControlSIAM J. Control Optim., 34
A.B. Kurzhanski (2005)
Advances in Control, Communication Networks, and Transportation Systems: Honor of Pravin Varaiya
István Vályi (1996)
Ellipsoidal Calculus for Estimation and Control
A. Kurzhanski, Ian Mitchell, P. Varaiya (2006)
Optimization Techniques for State-Constrained Control and Obstacle ProblemsJournal of Optimization Theory and Applications, 128
A.F. Filippov (1985)
Differentsial’nye uravneniya s razryvnoi pravoi chast’yu
A. Kurzhanski, P. Varaiya (2001)
Dynamic Optimization for Reachability ProblemsJournal of Optimization Theory and Applications, 108
A.A. Kurzhanski, P. Varaiya (2006)
Ellipsoidal Toolbox
M. James, J. Baras (1996)
Partially Observed Differential Games, Infinite-Dimensional Hamilton--Jacobi--Isaacs Equations, and Nonlinear $H_\infty$ ControlSiam Journal on Control and Optimization, 34
A. Kurzhanski, P. Varaiya (2011)
Optimization of Output Feedback Control Under Set-Membership UncertaintyJournal of Optimization Theory and Applications, 151
A.B. Kurzhanskii (1977)
Upravlenie i nablyudenie v usloviyakh neopredelennosti
We consider the problem of controlling a linear system of ordinary differential equations with a linear observable output. The system contains uncertain items (disturbances), for which we know only “hard” pointwise constraints. The problem of synthesizing a control that brings the trajectories of the system into a given target set in finite time is solved under weakened conditions without assuming that the control and the disturbance are of the same type. To this end, we suggest an approach that amounts to constructing an information set and a weakly invariant set with subsequent “aiming” of the first set at the second. Both stages are carried out in a finite-dimensional space, which permits one to use an efficient algorithm for solving the synthesis problem approximately on the basis of the ellipsoidal calculus technique. The results are illustrated by an example in which the control of a linear oscillation system is constructed.
Differential Equations – Springer Journals
Published: Feb 5, 2012
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