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Rabins Texas AM Univ
A Mixed IJHM Optimization Approach to Robust
Practical Applications of Vehicle Controls Within a Systems
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actuators adaptive control algorithm analysis application approach approximation assumed assumption asymptotic stability bifurcation bound closed loop Co-Chair consider constant constraints control law control problem control system controller design convergence damping defined denote disturbance Dynamic Systems eigenvalues Engineering equations equilibrium error estimate feedback control Figure filter finite frequency fussy fuzzy logic given IEEE IEEE Trans input Inst Kalman filter Lemma linear systems Lyapunov Lyapunov function matrix measurement method minimal Model Predictive Control modes neural network nonlinear norm observer obtained operating optimal control output paper parameter performance perturbed PID controller plant polynomial power system Predictive Control Proc Riccati equations robot Robust Control robust stability ROC curve sampling sensor shown signal simulation solution space spacecraft stochastic structure Tech techniques Theorem tion trajectory transfer function uncertainty Univ variables vector voltage zero