A survey on active fault-tolerant control systems
Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …
degradation in control performance. In recent decades, fault-tolerant control (FTC) …
Current development on using Rotary Inverted Pendulum as a benchmark for testing linear and nonlinear control algorithms
Abstract Rotary Inverted Pendulum (RIP) is an under-actuated mechanical system which is
inherently nonlinear and unstable. For decades, it has been widely used as an experimental …
inherently nonlinear and unstable. For decades, it has been widely used as an experimental …
Distributed Krein space-based attack detection over sensor networks under deception attacks
This paper is concerned with distributed attack detection for a discrete time-varying system
monitored by a sensor network. An adversary simultaneously launches distinct data …
monitored by a sensor network. An adversary simultaneously launches distinct data …
[图书][B] Global positioning systems, inertial navigation, and integration
MS Grewal, LR Weill, AP Andrews - 2007 - books.google.com
An updated guide to GNSS and INS, and solutions to real-world GPS/INS problems with
Kalman filtering Written by recognized authorities in the field, this second edition of a …
Kalman filtering Written by recognized authorities in the field, this second edition of a …
[图书][B] Receding horizon control: model predictive control for state models
Receding Horizon Control introduces the essentials of a successful feedback strategy that
has emerged in many industrial fields: the process industries in particular. Receding horizon …
has emerged in many industrial fields: the process industries in particular. Receding horizon …
Logarithmic regret bound in partially observable linear dynamical systems
We study the problem of system identification and adaptive control in partially observable
linear dynamical systems. Adaptive and closed-loop system identification is a challenging …
linear dynamical systems. Adaptive and closed-loop system identification is a challenging …
A framework for state-space estimation with uncertain models
AH Sayed - IEEE Transactions on Automatic Control, 2001 - ieeexplore.ieee.org
Develops a framework for state-space estimation when the parameters of the underlying
linear model are subject to uncertainties. Compared with existing robust filters, the proposed …
linear model are subject to uncertainties. Compared with existing robust filters, the proposed …
Optimal LQG control across packet-dropping links
We examine two special cases of the problem of optimal linear quadratic Gaussian control of
a system whose state is being measured by sensors that communicate with the controller …
a system whose state is being measured by sensors that communicate with the controller …
Space-Time Processing for MIMO Communications
AB Gershman, ND Sidiropoulos - 2005 - Wiley Online Library
Typeset in 10/12pt Times by Laserwords Private Limited, Chennai, India Printed and bound
in Great Britain by Antony Rowe Ltd, Chippenham, Wiltshire. This book is printed on acid …
in Great Britain by Antony Rowe Ltd, Chippenham, Wiltshire. This book is printed on acid …
A survey of spectral factorization methods
Spectral factorization is a crucial step in the solution of linear quadratic estimation and
control problems. It is no wonder that a variety of methods has been developed over the …
control problems. It is no wonder that a variety of methods has been developed over the …