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Models and theories of the environmental control system
Renewable Energy, 1994Abstract Concepts and modes of the environmental control system in buildings have been reviewed, and their strengths and weaknesses have been identified. The paper reports on the criticism levelled against conventional models of environmental control for considering only the passive mode of control and ignoring active control, which results from the ...
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Graph-Theory-Based Modeling and Control for System-Level Optimization of Smart Transformers
IEEE Transactions on Industrial Electronics, 2020Smart transformers offer the possibility to reduce the costs related to the integration of renewables and charging station into the grid and are gaining industrial interests. Grid system operators request modularity for easy maintenance and power scalability. Normally, the power is shared equally in the modular structure.
Marco Liserre +2 more
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Applications of Lie Group Theory to the Modeling and Control of Multibody Systems
Multibody System Dynamics, 1999The 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
2011In 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, 2019Abstract 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 +2 more
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Modelling and Control of Production Systems based on Nonlinear Dynamics Theory
CIRP Annals, 2002Abstract 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 +2 more
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Motor control: neural models and systems theory.
2001In 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 +2 more
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Foundations of a logical theory of modeling and control of discrete event systems
IFAC Proceedings Volumes, 1991Abstract 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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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 +3 more
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Quanying, Liu +3 more
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Fast model predictive control based on multiscale system theory
2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016Owing 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 +4 more
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