Tag: Stabilization

Free Download State Estimation and Stabilization of Nonlinear Systems: Theory and Applications (Studies in Systems, Decision and Control, 491) by Abdellatif Ben Makhlouf, Mohamed Ali Hammami, Omar Naifar
English | November 7, 2023 | ISBN: 3031379691 | 452 pages | MOBI | 71 Mb
This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system’s state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal forthe stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).

Free Download Stabilization, Safety, and Security of Distributed Systems: 15th International Symposium, SSS 2013, Osaka, Japan, November 13-16, 2013. Proceedings By Jons-Tobias Wamhoff, Mario Schwalbe (auth.), Teruo Higashino, Yoshiaki Katayama, Toshimitsu Masuzawa, Maria Potop-Butucaru, Masafumi Yamashita (eds.)
2013 | 380 Pages | ISBN: 3319030884 | PDF | 5 MB
This book constitutes the thoroughly refereed proceedings of the 15 International Symposium on Stabilization, Safety and Security of Distributed Systems, SSS 2013, held in Osaka, Japan, in November 2013. The 23 regular papers and 12 short papers presented were carefully reviewed and selected from 68 submissions. The Symposium is organized in several tracks, reflecting topics to self-* properties. The tracks are self-stabilization, fault tolerance and dependability; formal methods and distributed systems; ad-hoc, sensors, mobile agents and robot networks and P2P, social, self-organizing, autonomic and opportunistic networks.

Free Download Exact Controllability and Stabilization of the Wave Equation
English | 2024 | ISBN: 3031588568 | 151 Pages | PDF EPUB (True) | 10 MB
Through meticulous analysis and practical applications, this book provides invaluable insights for researchers seeking to navigate the expansive domain of wave-like equations and their control. Whether you are a seasoned mathematician or a newcomer to the field, this book serves as an indispensable guide, offering a thorough introduction and essential tools for understanding and controlling wave phenomena.

Free Download Stabilization of Earthen Building Materials by Select Native Binders
English | 2023 | ISBN: 3031489861 | 383 Pages | PDF EPUB (True) | 29 MB
Increased environmental and energy concerns have renewed global interest in raw earth as a building material. Low-energy requirements, low-cost, high availability at construction sites, and favorable engineering properties make (EBMs) an attractive alternative to conventional cement-based construction materials. Though the use of native binders to improve soil properties has garnered attention in recent literature, the available knowledge has not been covered in a single document. This book highlights the key soil properties that determine the mechanical performance of earthen building materials, importance of unsaturated soil mechanics in the engineering behavior of earthen building materials, the different types of stabilizers used to improve the engineering performance of earthen building materials including the use of select native binders, the characteristics of compressed earth blocks stabilized with cement and cement + wood ash additives and the improvement in the engineering properties of adobes stabilized with plant fibers and cow dung.

Free Download State Estimation and Stabilization of Nonlinear Systems: Theory and Applications by Abdellatif Ben Makhlouf, Mohamed Ali Hammami, Omar Naifar
English | PDF EPUB (True) | 2023 | 439 Pages | ISBN : 3031379691 | 73.8 MB
This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system’s state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).