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PROBABILISTIC AND DECISION MAKING METHODS WITH APPLICATIONS
MODELING AND SIMULATION WITH APPLICATIONS IN COMMUNICATION
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actuators adaptive control algorithm analysis application approach Bucknell University BUCOP closed loop coefficients compensator computer vision control law control system controller design defined degrees of freedom derived developed diagonal dominance digital filters displacement disturbance dynamic model eigenvalues Electrical elements Engineering error evaluation feedback control feedback gain feedback linearization filter flexible frequency fuzzy given implemented input signals insect inverse dynamics iterative joint linear load matrix method modes motion motor multivariate Nash equilibrium neural network nodes nonlinear obtained operating optical optimal control output feedback panel paper parameters Pareto optimal performance phase pixel poles position power system problem quadratic random variables recursive response robot arm robotic manipulators segment sensor shown in Figure simulation solution space structure subsystem techniques torque tracking trajectory transfer function transformation truss University values variables vector velocity voltage X Window System Xlib