1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

A continuous finite-time control scheme for rigid robotic manipulators is proposed using a new form of terminal sliding modes. The robustness of the controller is established using the Lyapunov stability theory. Theoretical analysis and simulation results show that faster and high-precision tracking performance is obtained compared with the conventional continuous sliding mode control method.

/pdf/continuous-finite-time-control-for-robotic-manipulators-with-2a187yyli2.pdf

Continuous finite-time control for robotic manipulators with terminal sliding modes

Series Preface * Preface to the Third Edition * 1 Linear Systems * 2 Nonlinear Systems: Local Theory * 3 Nonlinear Systems: Global Theory * 4 Nonlinear Systems: Bifurcation Theory * References * Index

/pdf/differential-equations-and-dynamical-systems-3chsjx2k45.pdf

Differential Equations and Dynamical Systems

This paper reviews some main results and progress in distributed multi-agent coordination, focusing on papers published in major control systems and robotics journals since 2006. Distributed coordination of multiple vehicles, including unmanned aerial vehicles, unmanned ground vehicles, and unmanned underwater vehicles, has been a very active research subject studied extensively by the systems and control community. The recent results in this area are categorized into several directions, such as consensus, formation control, optimization, and estimation. After the review, a short discussion section is included to summarize the existing research and to propose several promising research directions along with some open problems that are deemed important for further investigations.

/pdf/an-overview-of-recent-progress-in-the-study-of-distributed-1xnb6e12se.pdf

An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination

Time-varying formation control with attitude synchronization of multiple rigid body systems

We describe an auditory system for a multimodal mobile robot. The auditory system contains four microphones that are spatially arranged on a spherical robot head with three around the side of the sphere and one at the top. Different pairs of microphones provide localization cues for different directions. By using the top-mounted microphone, the elevation of sound sources can also be localized based on time difference and intensity difference cues. Different methods of spatial cue integration are proposed and compared. By incorporating a model of the precedence effect, the influence of echoes and reverberations can be inhibited.

Spatial auditory processing for a hearing robot

Exponential estimation of the unknown frequencies of discrete-time multi-tone sinusoidal signals

This paper studies the leader-following consensus problem for a class of nonlinear multi-agent systems with linearly parameterized uncertainty subject to jointly connected switching networks. To deal with the jointly connected switching networks, a distributed adaptive control law utilizing certainty equivalence principle and the adaptive distributed observer is developed. Global convergence of the closed-loop system is established. The design procedure is illustrated by a leader-following consensus problem for a group of Van der Pol oscillators.

Adaptive Leader-Following Consensus for a Class of Nonlinear Multi-Agent Systems with Jointly Connected Switching Networks

In this paper, we first propose a self-tuning adaptive distributed observer for a multi-agent system, which is capable of providing the estimation of the leader's signal to various followers without assuming all the followers know the system matrix of the leader and which avoids calculating the observer gain off-line. We then further develop an adaptive distributed control law to solve the cooperative output regulation problem for linear heterogeneous multi-agent systems. This control law offers two advantages in that it makes the least use of the information of the network and the information of the leader system, and it avoids calculating the observer gain.

Cooperative output regulation for networked multi-agent systems based on the self-tuning adaptive distributed observer

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