»ã±¨±êÌâ (Title)£ºA Composite time scaling transform for switching time optimal control problems(×éӦʱ±äµÄÇл»ÏµÍ³×îÓŽÚÔìÎÊÌâ)

»ã±¨ÈË (Speaker)£º Kok Lay Teo ½ÌÊÚ£¨Sunway University¡¢Curtin University£©

»ã±¨¹¦·ò (Time)£º2023Äê06ÔÂ10ÈÕ ( ÖÜÁù ) 15:00-17£º00

»ã±¨µØÖ· (Place)£ºÐ£±¾²¿ E421

Ô¼ÇëÈË(Inviter)£º°×ÑÓÇÙ ½ÌÊÚ

Ö÷°ì²¿ÃÅ£ºÀíѧԺÊýѧϵ

»ã±¨ÌáÒª£º

Abstract: The control parameterization technique used in conjunction with the time scaling transform is an effective computational method for solving various optimal control problems. More specifically, the control parameterization method approximates the control function as a piecewise constant function with its height and switching times as decision variables. The time scaling transform maps variable time points into fixed time points in a new time horizon. Thus, the optimal control problem is approximated as an optimal parameter selection problem, which is a finite dimensional optimization problem, and hence can be solved by gradient be transformation optimization methods. However, the conventional time-scaling requires that the switching times for all the control components switch simultaneously witch can be undesirable in practice.