Welcome to IET Digital Library
The IET Digital Library holds more than 100,000 technical papers from 1994 onwards for all IET journals, magazines, books, conference publications and seminar digests. Highly cited journals such as Electronics Letters are available alongside 24 research journal titles, The Journal of Engineering, the IETs new open access journal, Micro & Nano Letters, the IET's online only journal, the IET's member magazine Engineering & Technology, plus seminar digests and conference publications. Find out more...
The smart-grid concept can mean many things, however there is a consensus that its objective involves seamlessly adopting new technologies to existing infrastructures and maximising the use of resources. Modelling Distributed Energy Resources in Energy Service Networks focuses on modelling two key infrastructures in urban energy systems with embedded technologies. These infrastructures are natural gas and electricity networks and the embedded technologies include cogeneration and electric vehicle devices. The subject is addressed using a holistic modelling framework which serves as a means to an end; this end being to optimise in a coordinated manner the operation of natural gas and electrical infrastructures under the presence of distributed energy resources, thus paving the way in which smart-grids should be managed. The modelling approach developed and presented in this book, under the name 'time coordinated optimal power flow' (TCOPF), functions as a decision maker entity that aggregates and coordinates the available DERs according to multiple criteria such as energy prices and utility conditions. The examples prove the TCOPF acts effectively as an unbiased intermediary entity that manages cost-effective interactions between the connected technologies and the distribution network operators, therefore showcasing an integral approach on how to manage new technologies for the benefit of all stakeholders.
An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and Adaptive Control Systems treats nonlinear control and adaptive control in a unified framework, presenting the major results at a moderate mathematical level, suitable for MSc students and engineers with undergraduate degrees. Topics covered include introduction to nonlinear systems; state space models; describing functions for common nonlinear components; stability theory; feedback linearization; adaptive control; nonlinear observer design; backstepping design; disturbance rejection and output regulation; and control applications, including harmonic estimation and rejection in power distribution systems, observer and control design for circadian rhythms, and discrete-time implementation of continuous-time nonlinear control laws.
Using clear tutorial examples, this fully updated new edition concentrates on explaining and illustrating the concepts that are at the heart of control theory. It seeks to develop a robust understanding of the underlying principles around which the control subject is built. This simple framework is studded with references to more detailed treatments and also has interludes that are intended to inform and entertain. The book is intended as a companion on the journey through control theory, and although the early chapters concentrate on fundamental ideas such as feedback and stability, later chapters deal with more advanced topics such as state variables, optimisation, estimation, Kalman filtering and robust control.
Glocal control, a term coined by Professor Shinji Hara at The University of Tokyo, represents a new framework for studying behaviour of complex dynamical systems from a feedback control perspective. A large number of dynamical components can be interconnected and interact with each other to form an integrated system with certain functionalities. Such complex systems are found in nature and have been created by man, including gene regulatory networks, neuronal circuits for memory, decision making, and motor control, bird flocking, global climate dynamics, central processing units for computers, electrical power grids, the World Wide Web, and financial markets. A common feature of these systems is that a global property or function emerges as a result of local, distributed, dynamical interactions of components. The objective of 'glocal' (global + local) control is to understand the mechanisms underlying this feature, analyze existing complex systems, and to design and create innovative systems with new functionalities. This book is dedicated to Professor Shinji Hara on the occasion of his 60th birthday, collecting the latest results by leading experts in control theories to lay a solid foundation towards the establishment of glocal control theory in the coming decades.
The previous volume Advances in Unmanned Marine Vehicles brought together eighteen chapters describing research and developments in unmanned marine vehicles (UMVs). It was observed that almost without exception research groups worldwide were developing and working on real UMVs which means that they are able to test, evaluate and re-evaluate their designs in relatively quick succession, thereby rapidly reporting new approaches, techniques, designs and successes. This rapid design-evaluation cycle is the prime mover for progress, not only for consolidating designs but also leading to new design ideas and innovation. Since its publication in 2006, Advances in Unmanned Marine Vehicles has proven to be a useful and popular source of reference. However, the rapid design-evaluation cycle means further advances have been made which need to be reported. Thus, the seventeen chapters contained in this volume cover further advances in autonomous underwater vehicles, remotely operated vehicles, semi-submersibles, unmanned surface vessels whilst operating autonomously and/or in co-operation with other types of UMV. This book will be of interest to undergraduates, postgraduates, researchers and industrialists who are involved in the design and development of UMVs.
This book serves as a practical guide for the control engineer, and attempts to bridge the gap between industrial and academic control theory. Frequency domain techniques rooted in classical control theory are presented with new approaches in nonlinear compensation that result in robust, high-performance closed-loop systems. Illustrative examples using data from actual control designs are included.
This book gives an exposition of recently developed approximate dynamic programming (ADP) techniques for decision and control in human engineered systems. ADP is a reinforcement machine learning technique that is motivated by learning mechanisms in biological and animal systems. It is connected from a theoretical point of view with both adaptive control and optimal control methods. The book shows how ADP can be used to design a family of adaptive optimal control algorithms that converge in real-time to optimal control solutions by measuring data along the system trajectories. Generally, in the current literature adaptive controllers and optimal controllers are two distinct methods for the design of automatic control systems. Traditional adaptive controllers learn online in real time how to control systems, but do not yield optimal performance. On the other hand, traditional optimal controllers must be designed offline using full knowledge of the systems dynamics. It is also shown how to use ADP methods to solve multi-player differential games online. Differential games have been shown to be important in H-infinity robust control for disturbance rejection, and in coordinating activities among multiple agents in networked teams. The focus of this book is on continuous-time systems, whose dynamical models can be derived directly from physical principles based on Hamiltonian or Lagrangian dynamics.
In recent years technological advancements in the design and fabrication of integrated circuits have led to the development of cost effective, low power, thumb-size devices that can be used for sensing/actuating, communication and computing. This trend is enabling a surge of new applications for which pervasive network architectures are being developed. A key feature of these systems is that they are decentralized and communication among different subsystems may be unreliable. From an engineering viewpoint, to ensure correct operation, the theoretical analysis requires a fundamental paradigm shift, as many of the typical assumptions of systems and control theory cease to hold. Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications. Topics covered include control architectures for interconnected systems, recent developments in distributed model predictive control for interconnected networked systems, methods for designing distributed linear quadratic controllers for various classes of systems, designing distributed dynamic output-feedback controllers, characterization of distributed consensus control methods, distributed estimation techniques, distributed Kalman filtering methods, experimental setups and simulation of pilot-scale industrial processes.
- The IET launches The Journal of Engineering. Find out more about the IETs fully open access journal and how to submit your article.
- The IET is pleased to announce that the SciTech publications are now available on the IET Digital Library. Find out more.
- The IET appoints two new co-editors-in-chief for its Micro & Nano Letters journal. Find out more.
- The IET announces new Editors-in-Chief to drive its journals IET Wireless Sensor Systems and IET Generation Transmission & Distribution to new heights. Find out more.
- III-V semiconductors
- computer simulation
- bit error rate
- semiconductor lasers
- 10 Gbit/s
- optical fibres
- signal processing
- computational complexity
- genetic algorithm
- power systems
- power consumption
- 1.3 micron
- radiation patterns
- insertion loss
- semiconductor laser
- 1.55 micron
- quality of service
- 40 Gbit/s
- signal-to-noise ratio
- radiation pattern
- frequency response