This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes a
This monograph presents results originating from a research project investigating autonomous adaptation of vehicle schedules and systematically develops and evaluates innovative ideas for the manageme
This book focuses on guidelines for reducing the energy consumption in warehousing processes. It presents a model of formal assessment for energy consumption in the context of storage-system logistics
This book provides background knowledge on the development of model based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods for
This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and ana
The work in this book entails the development of non-linear model-based multivariable control algorithms and strategies and their use in an integrated approach to control strategy, which incorporates
The book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts provide elem
Many new technologies – like RFID, GPS, and sensor networks – that dominate innovative developments in logistics are based on the idea of autonomous cooperation and control. This self-organisational c
The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control techniques. In fact, apart from PID, predictive control is p
Mathematical theory of discrete time decision processes, also known as stochastic control, is based on two major ideas: backward induction and conditioning. It has a large number of applications in al
To take full advantage of the potential of modern digital control systems, this text demonstrates how to design high-performance model-based controllers using techniques extensively tested in an indus
