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Robotics applications, initially developed for industrial and manufacturing contexts, are now strongly present in several elds. Besides well-known space and high-technology applications, robotics for every day life and medical s- vices is becoming more and more popular. As an example, robotic manipu- tors are particularly useful in surgery and radiation treatments, they could be employed for civil demining, for helping disabled people, and ultimately for domestic tasks, entertainment and education. Such a kind of robotic app- cations require the integration of many di erent skills. Autonomous vehicles and mobile robots in general must be integrated with articulated manipu- tors. Many robotic technologies (sensors, actuators and computing systems) must be properly used with speci c technologies (localisation, planning and control technologies). The task of designing robots for these applications is a hard challenge: a speci c competence in each area is demanded, in the e ort of a truly integrated multidisciplinary design.
The need for accurate prediction of noise has resulted in a growing awareness of the power of computer codes to monitor acoustic problems which are of primary importance in industry, architecture and the environment. It is only now that their effects can accurately be predicted using computers and this provides a unique tool for noise control and reduction.
Fundamental and technological topics are blended uniquely and developed clearly in nine chapters with a gradually increasing level of complexity. A wide variety of relevant problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained, step by step. Fundamental coverage includes: Kinematics; Statics and dynamics of manipulators; Trajectory planning and motion control in free space. Technological aspects include: Actuators; Sensors; Hardware/software control architectures; Industrial robot-control algorithms. Furthermore, established research results involving description of end-effector orientation, closed kinematic chains, kinematic redundancy and singularities, dynamic parameter identification, robust and adaptive control and force/motion control are provided. To provide readers with a homogeneous background, three appendices are included on: Linear algebra; Rigid-body mechanics; Feedback control. To acquire practical skill, more than 50 examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, more than 80 end-of-chapter exercises are proposed, and the book is accompanied by a solutions manual containing the MATLAB code for computer problems; this is available from the publisher free of charge to those adopting this work as a textbook for courses.
This issue of Hematology/Oncology Clinics of North America is devoted to Neuroendocrine tumors. Articles in this issue include: Pathology Classification of Neuroendocrine Tumors; Clinical Presentation and Diagnosis of Neuroendocrine Tumors; Surgical Management of Gastrointestinal Carcinoid Tumors; Systemic Therapies for Advanced Gastrointestinal Carcinoid Tumors; Thymic and Bronchial Carcinoid Tumors; Surgical Management of Pancreatic Neuroendocrine Tumors; Systemic Therapies for Advanced Pancreatic Neuroendocrine Tumors; Pheochromocytoma and Paraganglioma; Poorly Differentiated Neuroendocrine Tumors; Role of Somatostatin Analogs in the Treatment of Neuroendocrine Tumors; Peptide Receptor Radiotherapy in the Treatment of Neuiroendocrine Tumors; Hepatic-Directed Therapies in Patients with Neuroendocrine Tumors; and Neuroendocrine Tumor Clinical Trial Interpretation and Design.
This edited book contains selected papers presented at the Louisiana Conference on Mathematical Control Theory (MCT'03), which brought together over 35 prominent world experts in mathematical control theory and its applications. The book forms a well-integrated exploration of those areas of mathematical control theory in which nonsmooth analysis is having a major impact. These include necessary and sufficient conditions in optimal control, Lyapunov characterizations of stability, input-to-state stability, the construction of feedback mechanisms, viscosity solutions of Hamilton-Jacobi equations, invariance, approximation theory, impulsive systems, computational issues for nonlinear systems, and other topics of interest to mathematicians and control engineers. The book has a strong interdisciplinary component and was designed to facilitate the interaction between leading mathematical experts in nonsmooth analysis and engineers who are increasingly using nonsmooth analytic tools.