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[CT022]

Session Time & Room : 3E (Aug.23, 17:40-19:20) @G402
Type : Contributed Talk
Abstract : In this study we present an appropriate singular, zero-sum, linear-quadratic differential game. One of the main features of this game is that the weight matrix of the minimizer’s control cost in the cost functional is singular. Due to this singularity, the game cannot be solved either by applying the Isaacs MinMax principle, or the Bellman–Isaacs equation approach. As an application, we introduced an pursuit-evasion differential game with an appropriate regularized cost functional and developed an appropriate dual representation. Developing the variational derivatives of this regularized cost functional, we apply several approximation methods and show how the numerical results coincide with the dual representation.
Classification : 34H05, 49J15, 91A23, 90C90, 49N15
Format : Talk at Waseda University
Author(s) :
- Oleg Kelis (Technion)
- Oleg Kelis (The Technion—Israel Institute of Technology)

Session Time & Room : 3E (Aug.23, 17:40-19:20) @G402
Type : Industrial Contributed Talk
Abstract : This work addresses a Linear Quadratic Gaussian Design (LQG) based semi-active control algorithm for vibration reduction of building structures. The controlled damper force required by the structure has been calculated from an MR damper. A building frame has been selected to illustrate the performance of the proposed algorithm. Four different earthquake acceleration data has been used as input vibration data to the numerical frame
Classification : 34H10, 34H15, 34H20, 70H03, 70H20
Format : Talk at Waseda University
Author(s) :
- MANIKANDAN RAJASEKARAN (DEPARTMENT OF APPLIED MATHEMATICS BHARATHIYAR UNIVERSITY COIMBATORE TAMIL NADU INDIA)
- PAYEL CHAUDRI (IIT KHARAGPUR)
- SAKTHIVEL R (PROFESSOR DEPARTMENT OF APPLIED MATHEMATICS BHARATHIYAR UNIVERSITY COIMBATORE TAMIL NADU INDIA)

Session Time & Room : 3E (Aug.23, 17:40-19:20) @G402
Type : Contributed Talk
Abstract : Variating operating conditions may produce delays in railways. We model the Robust Train Trajectory Optimization (RTTO) problem aiming to minimize the impact of model parameter uncertainty on the calculated energy-efficient trajectories, which would be drivable under any of the considered operating conditions. We analyze RTTO using the Robust Maximum Principle, reformulate the problem as a Quadratically-Constrained Quadratic Programming problem and showcase the performance of the model in a real case study.
Classification : 34H05, 49K35, 93-08, 90C47, 90C25
Format : Talk at Waseda University
Author(s) :
- Alex Cunillera (Delft University of Technology)
- Ramon M. Lentink (Nederlandse Spoorwegen)
- Niels van Oort (Delft University of Technology)
- Rob M. P. Goverde (Delft University of Technology)

Session Time & Room : 3E (Aug.23, 17:40-19:20) @G402
Type : Contributed Talk
Abstract : An adaptive event-triggered-based output tracking problem for non-linear network control systems with malicious attacks is discussed in this work. An adaptive event-triggered mechanism is developed to reduce the number of triggering and communication burdens. Feedback control is constructed to force the output trajectories to track reference input with disturbance and malicious attacks. Tracking objective transformed into input-output finite time stabilization. Sufficient conditions are developed based on Lyapunov–Krasovskii functional and advanced integral inequalities.
Classification : 34H05, 93D25, Systems and control theory
Format : Online Talk on Zoom
Author(s) :
- Vijayakumar Muthusamy (Anna University )