In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typicall...
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In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their color corresponds to the actual quantized activation state of the signaling component. The activation states are updated according to the progression of the signal through the signaling network. We demonstrate the results on a signaling network, which describes the interaction of fast (G protein coupled) and slow ( β -arrestin coupled) transmission.
The performance of two pressure-velocity coupling strategies, associated with the primitive variable solution of incompressible Newtonian fluid with the meshless Local Radial Basis Function Collocation Method (LRBFCM)...
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This paper is concerned with minimum error entropy filter design for non-linear Networked controlsystems (NCSs) with multiple-packet transmission mechanism. Since the error of the filter in NCSs is generally non-Gaus...
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The performance of two pressure-velocity coupling strategies, associated with the primitive variable solution of incompressible Newtonian fluid with the meshless Local Radial Basis Function Collocation Method (LRBFCM)...
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This paper tackles the robust stabilization problem for the plant family described by the transfer function set P(s, δ, δ) whose coefficients of the denominator and the numerator polynomials are affine in a real unc...
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作者:
P. VaruttiB. KernR. FindeisenP.Varutti
B.Kern and R.Findeisen are with the Laboratory for Systems Theory and Automatic Control Institute of Automation Engineering Otto-von-Guericke University Magdeburg 39016 Magdeburg Germany
Developing centralized controllers for large-scale systems, e.g. complex chemical processes, electrical power networks, is an important, yet challenging problem. Typically, it would be of advantage if one could divide...
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Developing centralized controllers for large-scale systems, e.g. complex chemical processes, electrical power networks, is an important, yet challenging problem. Typically, it would be of advantage if one could divide the problem into smaller parts (or subproblems), and to opt for a decentralized or distributed alternative. On the other hand, due to physical interconnections between subsystems, it is often complicated to find such a solution. Additionally, performance loss or even instability of the overall system can arise if the decentralization is not done properly. It is, therefore, fundamental to develop suitable distributed/decentralized techniques in order to avoid these issues. In this paper, we propose a decentralized dissipativity-based nonlinear model predictive control strategy for cascades of physically interconnected systems, e.g cascades of hydroelectric power plants, multi-cell batteries. Under mild assumptions, we prove that the control method guarantees overall stability by independently enforcing stability of the local subsystems. This allows for efficient decentralized solutions. Furthermore, the local controllers only exchange limited information and no model of the neighbor systems is required, facilitating decoupled local controller design. Two interconnected water tanks are used to demonstrate the effectiveness of our approach.
Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various ...
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Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd' important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computational experiments point of view is proposed.
The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have bee...
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The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.
This paper presents fault detection, fault diagnosis, the fault-tolerant control of an electro-hydraulic servo axes with a duplex-valve-system. The fault detection is based on parity equations and is load independent....
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This paper tackles the robust stabilization problem for the plant family described by the transfer function set P ( s, δ , δ ) whose coefficients of the denominator and the numerator polynomials are affine in a real...
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This paper tackles the robust stabilization problem for the plant family described by the transfer function set P ( s, δ , δ ) whose coefficients of the denominator and the numerator polynomials are affine in a real uncertain parameter vector δ satisfying the norm constraint || δ || p ≤ δ for p ≥ 1. It is shown that there exists a fixed controller robustly stabilizing all the members of P ( s, δ , δ ) if and only if its every member plant is free of unstable pole-zero cancelation. The optimal robust stabilizer is characterized in terms of a three dimensional frequency dependent Hahn-Banach minimizer. Classes of P ( s, δ , δ ) are characterized using Nevanlinna-Pick interpolation theory. For these classes optimal robust stabilizers can be obtained in closed forms using ℋ ∞ -optimization technique.
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