Browsing by Author "Pang, Jong-Shi"
Now showing items 1-5 of 5
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Conewise linear systems: non-zenoness and observability
Çamlıbel, Mehmet Kanat; Pang, Jong-Shi; Shen, Jinglai (SIAM Publications, 2006-12-11)Conewise linear systems are dynamical systems in which the state space is partitioned into a finite number of nonoverlapping polyhedral cones on each of which the dynamics of the system is described by a linear differential ... -
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Han, Lashan; Çamlıbel, Mehmet Kanat; Pang, Jong-Shi; Heemels, W. P. M. H. (IEEE, 2010-12)Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This requires the discretization of the (linear time-invariant) ... -
Convergence of time - stepping schemes for passıie and extended linear complementarity systems
Han, Lanshan; Tiwari, Alok; Çamlıbel, Mehmet Kanat; Pang, Jong-Shi (Society for Industrial and Applied Mathematics, 2009-12-02)Generalizing recent results in [M. K. Camlibel, Complementarity Methods in the Analysis of Piecewise Linear Dynamical Systems, Ph.D. thesis, Center for Economic Research, Tilburg University, Tilburg, The Netherlands, 2001], ... -
Lyapunov stability of complementarity and extended systems
Çamlıbel, Mehmet Kanat; Pang, Jong-Shi; Shen, Jinglai (SIAM Publications, 2006)A linear complementarity system (LCS) is a piecewise linear dynamical system consisting of a linear time‐invariant ordinary differential equation (ODE) parameterized by an algebraic variable that is required to be a solution ... -
A unified numerical scheme for linear - quadratic optimal control problems with joint control and state constraints
Han, Lanshan; Çamlıbel, Mehmet Kanat; Pang, Jong-Shi; Heemels, W. P. M. H. (Taylor & Francis, 2012)This paper presents a numerical scheme for solving the continuous-time convex linear-quadratic (LQ) optimal control problem with mixed polyhedral state and control constraints. Unifying a discretization of this optimal ...
