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Dynamic programming in chemical engineering and process control ; 12
Dynamic programming and the calculus of variations ; 21
Optimal control systems ; 22
Optimization of stochastic systems : topics in discrete–time systems ; 32
Statistical decision theory in adaptive control systems ; 39
Vol. 1: Linear equations and quadratic criteria ; 40
Introduction to the mathematical theory of control processes ; 40–40.2
Vol. 2: Nonlinear processes ; 40.2
Sequential methods in pattern recognition and machine learning ; 52
Sequential methods in pattern recognition and machine learning ; 52
Functional analysis and time optimal control ; 56
Stochastic processes and filtering theory ; 64
Adaptive, learning, and pattern recognition systems : theory and applications ; 66
Finite state Markovian secision processes ; 67
Finite state markovian decision processes ; 67
Introduction to stochastic control theory ; 70
General dynamical processes : a mathematical introduction ; 78
Computer–oriented approaches to pattern recognition ; 83
Random differential equations in science and engineering ; 103
Integral equations and stability of feedback systems ; 104
Syntactic methods in pattern recognition ; 112
System identification : advances and case studies ; 126
Functional analysis and linear control theory ; 156