Decentralized Control and Decentralized Adaptive Control
Decentralized Control and Decentralized Adaptive Control

Author:

Publisher:

Published: 2006

Total Pages: 31

ISBN-13:

DOWNLOAD EBOOK

As systems become complex with many interconnected subsystems, decentralized control becomes essential. When certain parameters of the system are unknown, and/or when subsystems are not aware of the signals from other subsystems that affect their behavior, we need decentralized adaptive control. The report deals with questions that arise while analyzing the stability and performance of decentralized adaptive control systems. The project produced three specific results: 1. Interconnected dynamical systems can be stable even when there is no communication between subsystems, provided all subsystems have common knowledge of the goals of the other subsystems. 2. Even though stability can be achieved without communication, the latter is necessary to satisfy performance requirements. To keep communication costs to a minimum, partial communication has to be used. This gives rise to stability problems which were resolved. 3. The problem as to when a subsystem in an interconnected-system communicates with another is an important one and needs to be investigated further. Simulation results have clearly shown that significant improvement in the performance of the overall system can be achieved by subsystems communicating only over critical intervals of time.

Adaptive Backstepping Control of Uncertain Systems
Adaptive Backstepping Control of Uncertain Systems

Author: Jing Zhou

Publisher: Springer Science & Business Media

Published: 2008-02-07

Total Pages: 246

ISBN-13: 3540778063

DOWNLOAD EBOOK

This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system tracking and transient performance, but also gives self-contained coverage of fundamentals on the backstepping approach illustrated with simple examples. Detail description of methodologies for the construction of adaptive laws, feedback control laws and associated Lyapunov functions is systematically provided in each case. Approaches used for the analysis of system stability and tracking and transient performances are elaborated. Two case studies are presented to show how the presented theories are applied.

Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities
Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities

Author: Wei Wang

Publisher: CRC Press

Published: 2017-09-18

Total Pages: 273

ISBN-13: 1351650890

DOWNLOAD EBOOK

In practice, actuators often undergo failures and various factors influence its effectiveness. Also due to the increasing complexity of large-scale systems, subsystems are often interconnected, whereas the interactions between any two subsystems are difficult to deal with. This book details a series of new methodologies of designing and analyzing adaptive backstepping control systems involving treatment on actuator failures, subsystem interactions and nonsmooth nonlinearities. Moreover, it discusses some interesting open issues in adaptive failure accommodation, decentralized adaptive control and distributed adaptive coordinated control.

Decentralized Control of Complex Systems
Decentralized Control of Complex Systems

Author: Dragoslav D. Siljak

Publisher: Courier Corporation

Published: 2013-07-24

Total Pages: 546

ISBN-13: 0486294374

DOWNLOAD EBOOK

Starting with a graph-theoretic framework for structural modeling of complex systems, this text presents results related to robust stabilization via decentralized state feedback. Subsequent chapters explore optimization, output feedback, the manipulative power of graphs, overlapping decompositions and the underlying inclusion principle, and reliability design. An appendix provides efficient graph algorithms. 1991 edition.