Dynamic Networks and Multilayered Structures
Focusing on multiobjective control, this book explores recent advancements in managing time-discrete systems with limited states. It delves into the dynamics of these systems and highlights their game theoretical properties, providing insights into both theoretical frameworks and practical applications in control systems.
Computational Networks
The book delves into advanced stochastic dynamic programming models and optimal control problems within networks, emphasizing new methods for discrete control issues and game variants of Markov decision problems. It begins by examining finite state spaces in Markov processes and existing algorithms, then introduces innovative dynamic programming and combinatorial techniques. Subsequent chapters focus on infinite horizon models, game-theoretical approaches, and finite horizon control problems, showcasing algorithms that significantly enhance computational network theory.
Richard Bellmann developed a theory of dynamic programming which is for many reasons still in the center of great interest. The authors present a new approach in the ? eld of the optimization and multi-objective control of time-discrete systems which is closely related to the work of Richard Bellmann. They develop their own concept and their extension to the optimization and multi-objective control of time-discrete systems as well as to dynamic networks and multilayered structures are very stimulating for further research. Di? erent perspectives of discrete control and optimal dynamic ? ow problems on networks are treated and characterized. Together with the algorithmic solutions a framework of multi-objective control problems is - rived. The conclusion with a real world example underlines the necessity and - portance of their theoretic framework. As they come back to the classical Bellmann concept of dynamic programming they stress and honor his basic concept without debase their own work. Multilayereddecisionprocessesaspartofthedesignandanalysisofcomplexsystems and networks will be essential in many ways and ? elds in the future.