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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Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonl...
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ISBN:
(纸本)9783037853122
Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.
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.
This paper presents a new multiobjective bio-inspired algorithm based on membrane computing (MOBIAMC). Similar to the single objective bio-inspired algorithm based on membrane computing (BIAMC), MOBIAMC has a netted m...
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Many tuning strategies for PID control algorithms have been proposed in the literature depending on modeling choice from heuristics, physical laws and/or experimental essays. In this paper, the properties of three mod...
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ISBN:
(纸本)9783902823182
Many tuning strategies for PID control algorithms have been proposed in the literature depending on modeling choice from heuristics, physical laws and/or experimental essays. In this paper, the properties of three model-free adaptive PID control design conceptions, known as direct PID control, are investigated and implemented. The recursive least squares estimator is used to identify the PID controller gains without the knowledge of the plant mathematical model. The tuning strategies of the direct PID controller are applied to the boiler control system proposed by Fernando Morilla (UNED, Spain) as a benchmark problem for the 2012 IFAC Conference on Advances in PID controllers.
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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In this contribution the problem relating dynamic behavior and parameter values for weakly reversible chemical reaction networks (CRNs) that obey the mass action law is revisited. The approach is founded on previous m...
In this paper a new approach is proposed to design state feedback controllers for well known T-S fuzzy systems. The used controller structure is in familiar parallel distributed compensation (PDC) format and the Lyapu...
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In this paper a new approach is proposed to design state feedback controllers for well known T-S fuzzy systems. The used controller structure is in familiar parallel distributed compensation (PDC) format and the Lyapunov candidate is the frequently used common quadratic one. The only difference is the stability theorem used which is a revised version of Lyapunov stability theorem that relaxes monotonic condition. It is shown that the proposed method is less conservative than common quadratic method and piecewise method.
Key parameters such as particle velocity, concentration of solid particles, and stability of pulverized fuel flow in fuel injection pipelines are useful to power plant operators to detect fuel supply problems at an ea...
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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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