This book focuses on the class of large-scale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributed-sensor networks, decentralized detection theory, and econometric models with integrated and decentralized policymakers.
Table of Contents
1. Decentralized Bayesian Detection Theory 2. Distributed Estimation in Distributed-Sensor Networks 3. Estimation of Large Sparse Systems 4. External Input Identification in Distributed Parameter Systems Using the Boundary Element Method 5. Interaction and Structure Concepts for Large-Scale Systems 6. Practical Issues of Coordination in Control and Optimization of Large-Scale Stochastic Systems 7. Filtering, Smoothing, and Control in Discrete-Time Stochastic Distributed-Sensor Networks 8. A Weak Contrast Function Approach to Adaptive Semi-Markov Decision Models 9. Large-Scale Stochastic Control Systems: Stability and Stabilization 10. Estimation of Attractors and Invariant Domains for Perturbed Complex and Large-Scale Systems 11. Controls of Flexible Mechanical Structures 12. Adaptive Control of Econometric Models with Integrated and Decentralized Policymakers