Information Requirements for Guidance and Control SystemsClearinghouse for Federal Scientific and Technical Information, 1966 - Control theory |
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Appendix approximations assumed assumption bias bit error probability c₁ calculated classical control theory closed-loop combined optimization problem combined optimization theory communication channel components computational procedure conditional probability density considered control input cost covariance matrix d₁ deadband defined derived determined differential equations dual control dynamic system entropy example expected value finite fixed controller Fokker-Planck equation function p(x/Z Gaussian given information theory information-handling K₁ Laplace transform mathematical measurement noise measurement system minimizes nonlinear open-loop control optimum control optimum decision optimum design optimum estimation OPTIMUM INFORMATION SYSTEMS optimum quantizer performance measures perturbations plant power spectral density present priori probability density function problem formulation quantizer design quantizer output relation root locus sampling SENSOR DYNAMICS shown in Fig signal generating process solution steady-state stochastic control stochastic control problem t₂ tion transient mode variables vector zero Δα