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  • Leading the Way Forward

    Resilience, Smart Technology, Low Carbon, and Sustainable Development

    This book is a comprehensive collection of research papers that focus on enhancing resilience, intelligence, and sustainability in tunnel engineering. It presents cutting-edge design theories, innovative construction techniques, intelligent operation and maintenance methods, sustainable development strategies and engineering application practices of tunnel and underground engineering.This book ... Read more

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  • Bio-Inspired Collaborative Intelligent Control and Optimization

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    This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of ... Read more

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  • Deep Reinforcement Learning

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    Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided ... Read more

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  • Big Data Privacy Preservation for Cyber-Physical Systems

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    This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively ... Read more

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  • S-Variable Approach to LMI-Based Robust Control

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    This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed ... Read more

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  • Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

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    Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a... ... Read more

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  • Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

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    This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. ... Read more

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  • Modeling and Optimization in Space Engineering

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    This volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization.The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. ... Read more

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  • Stability Regions of Nonlinear Dynamical Systems

    Theory, Estimation, and Applications

    This authoritative treatment covers theory, optimal estimation and a range of practical applications. The first book on the subject, and written by leading researchers, this clear and rigorous work presents a comprehensive theory for both the stability boundary and the stability regions of a range of nonlinear dynamical systems including continuous, discrete, complex, two-time-scale and non ... Read more

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  • Autonomous Cooperation and Control in Logistics

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    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 concept describes „...processes of decentralized decision-making in heterarchical structures. It presumes interacting elements in non-deterministic systems, which possess the capability and possibility ... Read more

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  • Adaptive Dynamic Programming for Control

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    There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and ... Read more

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