2 edition of synchronization of loosely coupled motion control systems. found in the catalog.
synchronization of loosely coupled motion control systems.
Written in English
SHORT ANALYTIC RECORD.
|Series||VTT publications -- 285., VTT julkaisuja -- 285.|
The coupled system is Lagrangian with symmetry, and energy methods are used to prove stability and coordinated behavior. Two cases of asymptotic stabilization are discussed; one yields convergence to synchronized motion staying on a constant momentum surface, and the other yields convergence to a relative equilibrium. () Event-based aperiodically intermittent pinning synchronization control strategy for linearly coupled complex networks. Nonlinear Analysis: Hybrid Syst () Effective low-dimensional dynamics of a mean-field coupled network of slow-fast spiking lasers.
Recent investigations by neurophysiologists have brought to increasing prominence the idea of central pattern generators (a class of coupled oscillators) as sources of motion "scripts" as well as a means for coordinating multiple degrees of freedom. The role of coupled oscillators in motion control systems is currently under intense investigation. In the past years, impulsive control for a single system and impulsive synchronization between two systems have been extensively studied. However, investigation on impulsive control and synchronization of complex networks has just started.
Synchronization of coupled oscillators is an important problem in the analysis and control of coupled dynamical systems. Loosely speaking, oscillators are synchronous if the solutions of all. Fujisaka H and Yamada T Stability theory of synchronized motion in coupled oscillator systems Prog. Theor. Maybhate A and Amritkar R E Use of synchronization and adaptive control in parameter estimation from a time series Phys Josic K Invariant manifolds and synchronization of coupled dynamical systems Phys. Rev. Lett.
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5. Conclusions. In this paper, a generalized synchronization design for multi-axis coordinated motion systems has been presented. To achieve better synchronization performance while maintaining good tracking response, a new LQG optimal control problem based on the synchronization observer is by: Motion Control Systems is concerned with design methods that support the never-ending requirements for faster and more accurate control of mechanical motion.
The book presents material that is fundamental, yet at the same time discusses the solution of complex problems in motion control systems. Motion Control Systems is concerned with design methods that support the never-ending requirements for faster and more accurate control of mechanical motion.
The book presents material that is fundamental, yet at the same time discusses the solution of complex problems in motion control by: A set of n gyroscopes are coupled to form a system of slave gyroscopes.
A simple approach is developed for synchronizing the motion of these slave gyroscopes whose individual motion may be regular or chaotic, with the motion of an independent master gyroscope irrespective of the chaotic or regular motion exhibited by the by: 4.
In this paper, the optimal cross-coupled synchronization control of a precision motion stage driven by dual linear motors is investigated. The single axis Author: Gang Zhang, Jian-Hua Wu, Pin-Kuan Liu, Han Ding. Synchronization of two motion control axes under adaptive feedforward control, ASME Journal of Dynamic Synchronization of loosely coupled motion control systems.
book, Measurement, and Control, vol. no. 2, pp. Yeh, S., and Hsu, P. Theory and applications of the robust cross-coupled control design, Proceedings of American Control Conference. In this paper, we formulate and investigate the synchronization of stochastic coupled systems via feedback control based on discrete-time state observations (SCSFD).
The discrete-time state feedback control is used in the drift parts of response system. Synchronization of coupled dynamical systems has been the subject of a considerable amount of research (see, e.g., [1–5]) with applications ranging from adaptive synchronization strategies [6–11] to pinning control [12–15].
One case of interest is that of complete synchronization that occurs when the individual systems, if appropriately. The synchronizing region of static output-feedback control for continuous-time systems is described and found to be conical, unbounded, but generally different in shape from the infinite right-half-plane synchronizing region of distributed full state feedback.
Furthermore, multiagent system synchronization under control signal delays is presented. in the rest of the book for synchronization, voltage sharing, and load balancing in electric power microgrids.
Synchronization in Nature, Social Systems, and Coupled Oscillators This section presents an overview of synchronization behavior in nature and social systems. It is seen that distributed decisions made by each agent in a group based.
A generalized synchronization controller for multi-axis motion systems is developed by incorporating cross-coupling technology into the optimal control architecture. The basic idea is to minimize a new cost function for the augmented system model in which the synchronization errors are embedded, so that synchronization control of multiple.
PCO networks was the synchronization of the lighting patterns of South Asian ﬁre-ﬂies . In this system, the ﬂashes of each ﬁreﬂy act as the coupling signal. Another natural phenomenon, the self-synchronization of the pacemaker cells of the heart, was studied by Peskin in .
Both of these phenomena have been modeled as PCO net. The synchronization task between loosely coupled cyclic sequential processes (as can be distinguished in, for instance, operating systems) can be viewed as keeping the relation “the system is in a legitimate state” invariant. The book then moves on to advanced topics in synchronization of complex networks by examining forms of synchronization in which not all the units share the same trajectory, namely chimera states, clustering synchronization, and relay and remote synchronization.
Simple codes for experimentation with these topics and control methods are also. The stability of the state of motion in which a collection of coupled oscillators are in identical synchrony is often a primary and crucial issue.
When synchronization stability is needed for many different configurations of the oscillators the problem can become computationally intense. formation control, satellite motion synchronization, synchronization of chaotic systems, coupled oscillator synchronization, control of power systems, trust propagation, consensus of opinions, etc.
Numerous papers have been written, and by now several books have appeared ,,,. The essential issue in cooperative control of MAS is the. The subject of the present book is to summarize the recent discoveries involving the study of synchronization in coupled chaotic systems.
Not always the word synchronization is taken as having the same colloquial meaning, and one needs to specify what synchrony means in all particular contexts in which we will describe its emergence.
Loosely Coupled Multiprocessor System: A loosely coupled multiprocessor system is a type of multiprocessing where the individual processors are configured with their own memory and are capable of executing user and operating system instructions independent of each other.
This type of architecture paves the way for parallel processing. Loosely. A modern introduction to synchronization phenomena, this text presents recent discoveries and the current state of research in the field, from low-dimensional systems to complex networks.
The book describes some of the main mechanisms of collective behaviour in dynamical systems, including simple coupled systems, chaotic systems, and systems of Reviews: 1. The synchronization and control problem of linearly coupled singular systems is investigated.
The uncoupled dynamical behavior at each node is general and can be chaotic or, otherwise the coupling matrix is not assumed to be symmetrical. Some sufficient conditions for globally exponential synchronization are derived based on Lyapunov stability theory.
A set of `n' gyroscopes are coupled together to form a system of `slave' gyroscopes. A simple approach is developed for synchronizing the motion of these slave gyroscopes, whose individual motion may be regular or chaotic, with the motion of an independent `master' gyroscope, irrespective of the chaotic or regular motion exhibited by the master.synchronization for multi-axis motion systems has drawn much more attention recently.
For example, motion synchronization is a crucial part of precise motion control elds, such as plotters, robotic arms, numerical control machines and hydraulic lift systems.
In such kinds of control applications, the system performances depend more on the.We study synchronization in delay-coupled neural networks of heterogeneous nodes.
It is well known that heterogeneities in the nodes hinder synchronization when becoming too large. We show that an.