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Learning and Generalisation
  • Language: en
  • Pages: 498

Learning and Generalisation

How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

Modelling and Control of Robot Manipulators
  • Language: en
  • Pages: 391

Modelling and Control of Robot Manipulators

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 ...

Non-linear Control for Underactuated Mechanical Systems
  • Language: en
  • Pages: 302

Non-linear Control for Underactuated Mechanical Systems

This book deals with the application of modern control theory to some important underactuated mechanical systems, from the inverted pendulum to the helicopter model. It will help readers gain experience in the modelling of mechanical systems and familiarize with new control methods for non-linear systems.

Official Gazette of the United States Patent Office
  • Language: en
  • Pages: 2100

Official Gazette of the United States Patent Office

  • Type: Book
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  • Published: 1973
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  • Publisher: Unknown

None

Robust Control
  • Language: en
  • Pages: 497

Robust Control

New results, fresh ideas and new applications in automotive and flight control systems are presented in this second edition of Robust Control. The book presents parametric methods and tools for the simultaneous design of several representative operating conditions and several design specifications in the time and frequency domains. It also covers methods for robustness analysis that guarantee the desired properties for all possible values of the plant uncertainty. A lot of practical application experience enters into the case studies of driver support systems that avoid skidding and rollover of cars, automatic car steering systems, flight controllers for unstable aircraft and engine-out controllers. The book also shows the historic roots of the methods, their limitations and research needs in robust control.

Performance Assessment of Control Loops
  • Language: en
  • Pages: 275

Performance Assessment of Control Loops

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies. . . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for widerand rapid dissemination. Benchmarking is a technique...

Randomized Algorithms for Analysis and Control of Uncertain Systems
  • Language: en
  • Pages: 350

Randomized Algorithms for Analysis and Control of Uncertain Systems

Moving on from earlier stochastic and robust control paradigms, this book introduces the fundamentals of probabilistic methods in the analysis and design of uncertain systems. The use of randomized algorithms, guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-infinity control. Features: • self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis; • comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples; • applications in congestion control of high-speed communications networks and the stability of quantized sampled-data systems. This monograph will be of interest to theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.

Digital Controller Implementation and Fragility
  • Language: en
  • Pages: 291

Digital Controller Implementation and Fragility

Written by leading researchers, this book collects a number of articles considering the problems of finite-precision computing in digital controllers and filters. Topics range from analysis of fragility and finite-precision effects to the design of low-complexity digital controllers.

When Children Kill Children
  • Language: en
  • Pages: 354

When Children Kill Children

  • Categories: Law
  • Type: Book
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  • Published: 2012-01-20
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  • Publisher: OUP Oxford

This title examines the role of political culture and penal populism in the response to the emotive subject of child-on-child homicide. Green explores the reasons underlying the vastly differing responses of the English and Norwegian criminal justice systems to the cases of James Bulger and Silje Redergard respectively. Whereas James Bulger's killers were subject to extreme press and public hostility, and held in secure detention for nine months before being tried in an adversarial court, and served eight years in custody, a Redergard's killers were shielded from public antagonism and carefully reintegrated into the local community. This book argues that English adversarial political culture...

Nonlinear Identification and Control
  • Language: en
  • Pages: 224

Nonlinear Identification and Control

The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It uses a number of simulated and industrial examples throughout, to demonstrate the operation of nonlinear identification and control techniques using neural networks.