Provides the mathematical framework for controlling and analyzing linear time-varying systems

Linear Time-Varying Systems: Control and Adaptation

Computers & Technology

Ioannou, Petros A.

Tsakalis, Kostas S.

Computer Science

PRENTICE/HALL

Most of the confusion and difficulty in understanding the design, analysis and robustness of a wide class of adaptive systems for continous-time plants will be alleviated by this new book that promises to be the most comprehensive guide available in the area of adaptive control of continuous-time systems. KEY TOPICS: Presents most of the existing techniques for designing and analyzing adaptive systems, in a tutorial manner. Covers models for dynamic systems, stability, on- line parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. For engineers working in the areas of identification, neural networks, fuzzy logic, and controls.

Robust Adaptive Control

Science & Math

孙静

Technology

Intelligent Freight Transportation (Automation and Control Engineering)

Increasing capacity at ports and goods movement in the supply chain in general, while also satisfying environmental, economic, political, labor union, and other constraints is, arguably, the greatest challenge of modern transportation. With space at a premium and costs through the roof, it is increasingly obvious that the traditional solutions are not feasible in the short- or even medium-term. However, advances in information technology, telecommunications, data management, and computation tools, coupled with recent research in systems optimization and control, may provide promising new approaches.

Engineering & Transportation

Transportation

CRC-Press

Increasing capacity at ports and goods movement in the supply chain in general, while also satisfying environmental, economic, political, labor union, and other constraints is, arguably, the greatest challenge of modern transportation. With space at a premium and costs through the roof, it is increasingly obvious that the traditional solutions are not feasible in the short- or even medium-term. However, advances in information technology, telecommunications, data management, and computation tools, coupled with recent research in systems optimization and control, may provide promising new approaches.

Adaptive Systems with Reduced Models (Lecture Notes in Control and Information Sciences, 47)

Springer

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Books by Ioannou, Petros A.