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Shows readershow to exploit the capabilities of the MATLAB Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples. Robust Control Design with MATLAB helps you learn how to use well-developed robust control design methods in practical cases. Realistic control design examples from teaching-laboratory experiments, such as a mass-damper-spring assembly, to complex systems like a flexible-link manipulator are detailed. Design exercises are conducted with MATLAB Robust Control and Control Systems Toolboxes and Simulink. Features:- Hands-on tutorial presentation giving you the opportunity to repeat the designs presented and easily modify them for your own programs. This textbook is for graduate students and pract...

This book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Networks for Grid Applications, GridNets 2009, held in Athens, Greece, in September 2009. The 10full papers, 3 invited papers and 2 invited keynotes address the whole spectrum of Grid networks and cover various topics such as authorisation infrastructure for on-demand Grid and network resource provisioning, access control requirements for Grid and cloud computing systems, business models, accounting and billing concepts in Grid-aware networks, multiple resource scheduling in e-science applications, percolation-based replica discovery in peer-to-peer grid infrastructures, GridFTP GUI, alarms service for monitoring multi-domain Grid n...

Design and optimization of integrated circuits are essential to the creation of new semiconductor chips, and physical optimizations are becoming more prominent as a result of semiconductor scaling. Modern chip design has become so complex that it is largely performed by specialized software, which is frequently updated to address advances in semiconductor technologies and increased problem complexities. A user of such software needs a high-level understanding of the underlying mathematical models and algorithms. On the other hand, a developer of such software must have a keen understanding of computer science aspects, including algorithmic performance bottlenecks and how various algorithms operate and interact. VLSI Physical Design: From Graph Partit...

Synthesis and Optimization of DSP Algorithms describes approaches taken to synthesising structural hardware descriptions of digital circuits from high-level descriptions of Digital Signal Processing (DSP) algorithms. The book contains: -A tutorial on the subjects of digital design and architectural synthesis, intended for DSP engineers, -A tutorial on the subject of DSP, intended for digital designers, -A discussion of techniques for estimating the peak values likely to occur in a DSP system, thus enabling an appropriate signal scaling. Analytic techniques, simulation techniques, and hybrids are discussed. The applicability of different analytic approaches to different types of DSP design is covered, -The development of techniques to optimise the pre...