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COMBINED OPTIMIZATION PROBLEM
OPTIMUM INFORMATION SYSTEMS
9 other sections not shown
Appendix approximations assumed assumption bias bit error probability calculated classical control theory closed-loop combined optimization problem combined optimization theory communication channel components computational procedure conditional probability density considered control input control system cost covariance matrix deadband defined derived determined differential equations dual control dynamic system entropy example expected value finite fixed controller Fokker-Planck equation Gaussian information theory Laplace transform mathematical measurement noise measurement system minimizes obtained open-loop control operation optimum control optimum design optimum estimation optimum information systems optimum quantizer output levels performance criterion performance measures perturbations plant position servo power spectral density present priori probability density function problem formulation quantity of information quantizer design quantizer output random variables root locus sensor dynamics shown in Fig signal generating process solution statistically independent steady-state stochastic control problem system performance tion transient mode variables vector zero