Results 221 to 230 of about 354,697 (265)

Applications of Lie Group Theory to the Modeling and Control of Multibody Systems

Multibody System Dynamics, 1999
The author presents a method for using Lie group theory for the modeling and control of open-loop rigid-joint or elastic-joint mechanical systems. The governing equations are given in a vector parametric form suited for the application of Lie algebra methods.
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Advances in the Theory of Control, Signals and Systems with Physical Modeling

2011
In the 60's, control, signals and systems had a common linear algebraic background and, according to their evolution, their respective backgrounds have now dramatically differed. Recovering such a common background, especially in the nonlinear context, is currently a fully open question.
Lévine, Jean, Mullhaupt, Philippe
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Control of complex sociotechnical systems: Importance of causal models and game theory

Computers & Chemical Engineering, 2019
Abstract Recent systemic failures in different domains have reminded us, once again, of the fragility of complex sociotechnical systems. Although the failures occurred in very different domains, there are, however, certain common underlying mechanisms driving these disasters.
Venkat Venkatasubramanian, Yu Luo 0003, Zhizun Zhang   +2 more
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Fast model predictive control based on multiscale system theory

2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016
Owing to its ability to deal with hard constraints, model predictive control (MPC) can meet the good control performance requirements of modern complex industrial control systems. But the large computational load limits its application to more fields such as fast dynamic systems.
Qin Mei, Fang Xu, Hong Chen, Zongli Li, Yunfeng Hu   +4 more
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Foundations of a logical theory of modeling and control of discrete event systems

IFAC Proceedings Volumes, 1991
Abstract In this paper we present the foundations of a logical theory of modeling and control of discrete event systems. Specifically, we address the problem of process specification using logic and study properties of processes which are so described. Since the controller of a process is itself a process whose specification may be given in a logical
H. Mortazavian, F. Lin
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Motor control: neural models and systems theory.

2001
In this paper, we introduce several system theoretic problems brought forward by recent studies on neural models of motor control. We focus our attention on three topics: (i) the cerebellum and adaptive control, (ii) reinforcement learning and the basal ganglia, and (iii) modular control with multiple models.
Doya, Kenji, Kimura, Hidenori, Miyamura, Aiko   +2 more
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Modelling and Control of Production Systems based on Nonlinear Dynamics Theory

CIRP Annals, 2002
Abstract Today's highly dynamic market with its rapid changing demand requires highly dynamic order processing in very flexible production systems. Most conventional production planning and control methods do not support such fast-moving activities. A dynamical approach is introduced for modelling and control of production systems.
B. Scholz-Reiter, M. Freitag, A. Schmieder   +2 more
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Modelling and Controlling System Dynamics of the Brain: An Intersection of Machine Learning and Control Theory

The human brain, as a complex system, has long captivated multidisciplinary researchers aiming to decode its intricate structure and function. This intricate network has driven scientific pursuits to advance our understanding of cognition, behavior, and neurological disorders by delving into the complex mechanisms underlying brain function and ...
Quanying, Liu, Chen, Wei, Youzhi, Qu, Zhichao, Liang   +3 more
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Control systems theory and the mathematical modelling and design of structures

1974
The equations and principles of structural mechanics are discussed within the framework of an hierarchical multilevel systems theory after Clyde. A single-level model is advanced and general results obtained for the single-level, single-goal design problem.
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Modeling and Qualitative Theory for General Hybrid Dynamical and Control Systems

IFAC Proceedings Volumes, 1997
Abstract Hybrid dynamical systems which are capable of exhibiting simultaneously several kinds of dynamic behavior, such as continuous-time dynamics, discrete-time dynamics, jump phenomena, switching and logic commands, discrete events, and the like, are of great current interest.
Anthony N. Michel, Ling Hou
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