Singapore: World Scientific, 2001. - 148p.
Couples control engineering with modern development in science via the concept of entropy. Control activity is explained based on the principles that control is making a system do what we want it to do, relating control theory with the sciences.
Review Of Entropy Concepts
Entropy And Thermodynamics
Entropy And Information Theory
The Principle Of Increasing Precision Decreasing Intelligence
Uncertainty And The Control Problem
Automatic Control Systems
Entropy Formulation Of Control
Conclusions
The Deterministic Optimal Control
The Stochastic Optimal Control Problem
The Stochastic Suboptimal Control Problem
Discrete-Time Formulation Of The Stochastic Optimal Control Problem
Maximum Entropy Formulation Of State Estimation: Continuous-Time
Maximum Entropy Formulation Of State Estimation: Discrete-Time
The Cost Of Active Feedback (Dual) Control Problem
Stochastic Optimal (Dual) Estimation And Control
Stochastic Optimal Adaptive Control
Example: The Dual-Optimal And Adaptive Control
The LQG Optimal Control And The Kalman-Bucy Filter
Upper Bound Of The Equivocation H[o/u*]
Example: The Upper Bound Of Equivocation
Derivation Of The IDI
The Architecture
The Analytic Model
The Architecture
The Analytic Model
The System And The Architecture
Entropy Formulation Of Motion Control
Entropy Measure Of The Vision System
Conclusions
Definition Of Reliability
Reliability Measures
Entropy Measures Of Reliability
The Looser Lower Bound
Reliability-Based Intelligent Control
Illustrative Example
Automation
Intelligent Manufacturing
Product Scheduling Architecture: The Organization Level
Product Scheduling Architecture: The Coordination Level
The Organization Level Structure
The Coordination Level Structure
Conclusions
The Environmental Systems
Ecological Systems
Biochemical Systems
Econometric Models
The Optimal Control For Global Entropy
Conclusions
The Architecture Of The Coordination Level
The Analytic Model
The Architecture Of The Execution Level
Entropy Formulation Of Motion Control
Entropy Measure Of The Vision System
Entropy Measure For The Sensory System
Irreversibility Of Processes
Entropy And Control Engineering And Chaos
Remarks