District energy (DE) systems use central heating and/or cooling facilities to provide heating and/or cooling services for communities and can be particularly beneficial when integrated with cogeneration plants for electricity and heat. This book provides information on district energy and cogeneration technologies, and the systems that combine them, with a focus on their modelling, analysis and optimization.

The equipotential earth is a fundamental requirement of circuit theory, because it dramatically reduces the complexity of the mathematics required to simulate a circuit. Unfortunately, in the real world, no such equipotential earth exists, nor can it ever do so, which means simulating a circuit to evaluate its electromagnetic compatibility (EMC) and susceptibility to electromagnetic interference (EMI) is largely dependent on using the Maxwell equations. The Maxwell equations are inherently complex, however, and so have high processing power requirements and, as with all complex systems, there is a propensity to generate and magnify errors.

Industrial automation is driving the development of robot manipulators in various applications, with much of the research effort focussed on flexible manipulators and their advantages compared to their rigid counterparts. This book reports recent advances and new developments in the analysis and control of these robot manipulators.

The ever increasing utilisation of robotic manipulators for various applications in recent years has been motivated by the requirements and demands of industrial automation. Among these, attention is focused more towards flexible manipulators, due to various advantages they offer compared to their rigid counterparts. Flexural dynamics have constituted the main research challenge in modelling and control of such systems; research activities have accordingly concentrated on the development of methodologies to cope with this.

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimisation of error between the model response and actual system response. However, with the proliferation of highspeed digital computers, elegant and innovative techniques like filter error method, genetic algorithms and artificial neural networks are finding more and more use in parameter estimation problems. Modelling and Parameter Estimation of Dynamic Systems presents a detailed examination of many estimation techniques and modelling problems.

This book provides engineers, researchers and advanced students with the mathematical modelling, control and simulation tools needed for the successful design, long-term management and maintenance of a small scale hydro-power plant (HPP). It also covers the hybrid operation with other small scale renewable power plants as well as the use of a storage system. The book features case studies and test-based design, and all system components are modelled using the well-known state space form technique.

This comprehensive book describes how to systematically assess the stability of electrical grids with a high share of power electronics converters and considers what their presence in the electrical grid entails. It is divided into three areas: Part 1 presents the three fundamental stability analysis methods and tools for power electronics systems; Part 2 examines applications in power utility systems; and Part 3 describes applications in microgrids and mobile power systems.

This book presents cutting-edge research advances in the rapidly growing areas of nanoantennas and plasmonics as well as their related enabling technologies and applications. It provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments, to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book also covers highly-directive nanoantennas, all-dielectric and tuneable/reconfigurable devices, metasurface optical components, and other related topics.

Designed for ICT professionals involved in the planning, design, development, testing and operation of network services, this book is ideal for self-teaching. It will help readers evaluate a network situation and identify the most important aspects to be monitored and analysed. The author provides a detailed step by step methodological approach to network design from the analysis of the initial network requirements to architecture design, modelling, simulation and evaluation, with a special focus on statistical and queuing models. The chapters are structured as a series of independent modules that can be combined for designing university courses. Practice exercises are given for selected chapters, and case studies will take the reader through the whole network design process.

This book provides a comprehensive range of topics for monitoring, modelling and assessing the performance of photovoltaic plants, and enabling effective asset management. Using real-world data, the book emphasises practical usability, systematically covering the knowledge needed to perform these tasks, from the basics all the way through to the evaluation of key performance indicators. Source code used to perform data analysis is also included. This book is ideal for anyone working with photovoltaic systems or plants.

To ensure stable operation of a power system, it is necessary to analyse the power system performance under various operating conditions. Analysis includes studies such as power flow and both steady-state and transient stability. To perform such studies requires knowledge about the models used to represent the various components that constitute an integrated power system. In situations where there is a risk of loss of stability, it is necessary to apply controls that can ensure stable and uninterrupted supply of electricity following a disturbance.

The first maritime surveillance radars in World War II quickly discovered that returns from the sea, soon to be known as sea clutter, were often the limiting factor when attempting to detect small targets while controlling false alarms. This remains true for modern radars, where the detection of small, slow moving targets on a rough sea surface remains one of the main drivers for maritime radar design, particularly in the development of detection processing.