
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest development…

To be a U.S. citizen is to be a member of a constitutional order that requires political unity but is also committed to social and cultural diversity. How do we solve the riddle of the one and the many? What is, in Tom Paine's words, "the constitution of the people"?This is a perennial question that goes to the heart of American society and that increasingly shapes public debates about the heal…

The open access book set LNCS 15696, 15697 and 15698 constitutes the proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025, during May 3-8, 2025, in Hamilton, Canada. The 46 papers presented were carefully r…

The open access book set LNCS 15696, 15697 and 15698 constitutes the proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025, during May 3-8, 2025, in Hamilton, Canada. The 46 papers presented were carefully r…

This open access book focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimiz…

This is a chapter from The Criminal Act: The Role and Influence of Routine Activity Theory edited by Martin A. Andresen and Graham Farrell. This chapter is available open access under a CC BY license. Target suitability is a cornerstone of Marcus Felson's routine activities approach, and critical in determining crime rates. Recent research identifies reduced target suitability, via improved sec…

This chapter describes the key aspects of public financial management and internal control reform, viewed through a managerial lens. It describes how, without a thorough appreciation of the linkage with management, this reform will at best fail to meet the intended objectives and at worst could add to administrative bureaucracy and hence costs. These are recurrent themes throughout th…

This open access book presents work collected through the Liquefaction Experiments and Analysis Projects (LEAP) in 2017. It addresses the repeatability, variability, and sensitivity of lateral spreading observed in twenty-four centrifuge model tests on mildly sloping liquefiable sand. The centrifuge tests were conducted at nine different centrifuge facilities around the world. For the first …

This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance cont…

This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks. From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (includi…