Registered Data

[CT068]


  • Session Time & Room
    • CT068 (1/1) : 1E @F401 [Chair: Ludovic JASON]
  • Classification
    • CT068 (1/1) : Mechanics of deformable solids (74-) / Miscellaneous topics in calculus of variations and optimal control (49N) / Systems theory; control (93-)

[00281] Simulation of the mechanical behaviour of steel-concrete-steel structures including concrete voids

  • Session Time & Room : 1E (Aug.21, 17:40-19:20) @F401
  • Type : Contributed Talk
  • Abstract : Numerical tools, including finite element simulations, are considered to investigate the effect of initial voids inside concrete on the mechanical behavior of steel-concrete composite structures in compression. A refined numerical strategy is first defined, including a particular care on the relations between each structural component. Due to high computational cost, progressive numerical simplifications are then discussed to conclude in the most acceptable simplified hypothesis. A parametric study is finally launched and perspectives are discussed.
  • Classification : 74-10, 74S05, 74R05, simulation, damage models, structural behaviour
  • Format : Talk at Waseda University
  • Author(s) :
    • Ludovic JASON (Université Paris-Saclay, CEA, Service d'Études Mécaniques et Thermiques)

[02286] Partially Observable Stochastic Control with Memory Limitation and Mean-Field Approach

  • Session Time & Room : 1E (Aug.21, 17:40-19:20) @F401
  • Type : Contributed Talk
  • Abstract : In this presentation, we describe the difficulties with partially observable stochastic control, POSC, and then propose memory-limited POSC, ML-POSC, to solve them. POSC does not consider memory limitation, which hampers the applications to actual controllers. Furthermore, POSC needs to solve a functional differential equation, which is intractable even numerically. In contrast, ML-POSC explicitly formulates limited memories of controllers. Additionally, ML-POSC reduces a functional differential equation to a partial differential equation by the mean-field control technique.
  • Classification : 49N30, 49N80, 49K45, 93E20
  • Format : Talk at Waseda University
  • Author(s) :
    • Takehiro Tottori (The University of Tokyo)
    • Tetsuya J. Kobayashi (The University of Tokyo)

[01025] EXISTENCE OF OPTIMAL CONTROL FOR TIME VARYING STOCHASTIC DIFFERENTIAL EQUATIONS

  • Session Time & Room : 1E (Aug.21, 17:40-19:20) @F401
  • Type : Contributed Talk
  • Abstract : The work deals with the control problem for linear stochastic time varying system driven by square integrable stochastic process with zero mean and continuous sample paths. The cost functional is considered to be quadratic in the system state and the control. The completion of squares technique is used to establish the existence of optimal control under the family of non-adapted admissible control.
  • Classification : 49N05, 49N10, 93C05, 93C40
  • Format : Online Talk on Zoom
  • Author(s) :
    • Murugan Suvinthra (Bharathiar University)

[01032] Memory event-triggered finite-time fault control for neural networks system

  • Session Time & Room : 1E (Aug.21, 17:40-19:20) @F401
  • Type : Contributed Talk
  • Abstract : By wielding METS, this topic explores finite-time issue for neural networks comprise to actuator failures and deception attack. By engaging Lyapunov function and integral inequality technique, sufficient conditions in the structure of linear matrix inequality assures the asymptotic mean-square finite-time boundedness of the considered model. Ultimately, the capability of the proposed control design is demonstrated through two numerical examples.
  • Classification : 93-XX
  • Format : Talk at Waseda University
  • Author(s) :
    • Karthick SA (National Tsing Hua University)
    • Bor-Sen Chen (National Tsing Hua University)

[01416] Autonomous controllers for a Swarm of UAVs

  • Session Time & Room : 1E (Aug.21, 17:40-19:20) @F401
  • Type : Contributed Talk
  • Abstract : Self-organization patterns emerge in biological swarms' due to collective interactions from their individuals. This paper presents a set of novel autonomous controllers of the individuals of a swarm of planar unmanned aerial vehicles for the MPC problem. The stabilizing continuous nonlinear controllers of the UAVs gives rise to diverse pattern formation due to the communication that occurs amongst an individual and its neighbors. The controllers' effectiveness is illustrated through computer and numerical simulations.
  • Classification : 93-XX, 93-10, 93Dxx, 93D05
  • Format : Talk at Waseda University
  • Author(s) :
    • Sandeep Ameet Kumar (School of Information Technology, Engineering, Mathematics and Physics, The University of the South Pacific)