Now showing items 1-6 of 6

  • On the robustness of observer-based controllers 

    Beheshti, M. T.; Sawan, M. Edwin (IEEE, 1987-06-10)
    In this paper, we investigate the robustness of the observer-based controller under Parameter perturbations. Our goal is to find the conditions for insensitivity of the optimal observer-based controller to parameter ...
  • Optimal control for a class of interconnected discrete-time systems with parameter uncertainty 

    Challoo, R.; Sawan, M. Edwin (IEEE, 2009-03-10)
    A large-scale interconnected discrete-time system is considered. This system consists of three interconnected discrete-time subsystems x1, X2, and X3 where x2 and X3 can be directly controlled with the controls u2 and ...
  • Optimal control systems with low sensitivity to small time delays 

    Sawan, M. Edwin; Cruz, J. B. (IEEE, 1979-12-01)
    The problem of reducing trajectory sensitivity to small time delays is considered. State and output feedback gains are computed, so that the system performs optimally with low sensitivity. The delay is assumed to be expected ...
  • Optimal zone (OZON) protocol for broadcast control in ad-hoc networks 

    Thanthry, Nagaraja; Malla, Deependra; Pendse, Ravi (IEEE, 2007-09-30)
    Mobile ad-hoc networks have been envisioned as the future of wireless networking technology. Continuous efforts are being put to improve the performance of ad-hoc networks in terms of path selection, quality of service ...
  • Pole placement using projective controls and LQ modification 

    Arar, A. S.; Sawan, M. Edwin (IEEE, 1991-06-26)
    A method for solving the output regulator problem by using projective controls was reported by Medanic. Using this method reigenvalues of the state feedback closed-loop system can be retained where r is the number of the ...
  • Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command tracking 

    Lakshmikanth, Geethalakshmi S.; Padhi, Radhakant; Watkins, John Michael; Steck, James E. (IEEE, 2011-09-28)
    Using the Approximate Dynamic Programming (ADP) approach, nonlinear optimal control problems can be solved by using a dual neural network architecture called the Adaptive Critic (AC). A Single Network Adaptive Critic (SNAC) ...