In this paper CRNs containing linear reaction chains with multiple joint complexes were considered in order to obtain an equivalent reduced order delayed CRN model with distributed time delays. For this purpose, our e...
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In this paper CRNs containing linear reaction chains with multiple joint complexes were considered in order to obtain an equivalent reduced order delayed CRN model with distributed time delays. For this purpose, our earlier method (Lipták and Hangos (2018)) for decomposing the chains of linear reactions with multiple joint complexes was used together with the "linear chain trick". An analytical expression for the kernel function of the distributed delay was also derived from the reaction rate coefficients of the linear reaction chains. Our approach was demonstrated using the example of the well known McKeithan’s network model of kinetic proofreading.
For the real-time fault detection of electrochemical cells in automotive applications, time-domain based impedance estimation schemes, together with broad-band current excitation signals, have been developed. Whereas ...
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For the real-time fault detection of electrochemical cells in automotive applications, time-domain based impedance estimation schemes, together with broad-band current excitation signals, have been developed. Whereas the appropriate choice of the estimator is necessary as to prevent a systematic estimation bias, the choice of the applied excitation signal is of equal crucial importance as thereby the covariance of the estimate, and therefore the resulting accuracy of the estimation scheme, is directly influenced. In this work, an optimization of the applied current excitation signal, based on the Fisher information matrix, is proposed and its influence on the estimation accuracy is investigated.
Nonlinearity is ubiquitous in engineering and natural *** development of nonlinear control can be traced back to decades *** date,the research has reached the stage that emphasizes developing methodologies that can ha...
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Nonlinearity is ubiquitous in engineering and natural *** development of nonlinear control can be traced back to decades *** date,the research has reached the stage that emphasizes developing methodologies that can handle the complexity characterized by uncertainty,
The distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of n local cost functions by using local information exchange is considered. This problem is an important component o...
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Many control tasks can be formulated as a tracking problem of a known or unknown reference signal. Examples are movement compensation in collaborative robotics, the synchronisation of oscillations for power systems or...
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This paper addresses the robust stabilization problem for T-S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. A classical integral sliding mode control scheme and a nonparallel dis...
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This paper addresses the robust stabilization problem for T-S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. A classical integral sliding mode control scheme and a nonparallel distributed compensation (Non-PDC) integral sliding mode control scheme are presented. It is shown that two restrictive assumptions previously adopted developing sliding mode controllers for Takagi-Sugeno (T-S) fuzzy stochastic systems are not required with the proposed framework. A unified framework for sliding mode control of T-S fuzzy systems is formulated. The proposed Non-PDC integral sliding mode control scheme encompasses existing schemes when the previously imposed assumptions hold. Stability of the sliding motion is analyzed and the sliding mode controller is parameterized in terms of the solutions of a set of linear matrix inequalities which facilitates design. The methodology is applied to an inverted pendulum model to validate the effectiveness of the results presented.
In this paper, a robust adaptive back-stepping attitude controller is investigated for hypersonic reentry vehicle under unknown parameters and external disturbances. Firstly, the affine nonlinear system of HRV is esta...
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In this paper, a robust adaptive back-stepping attitude controller is investigated for hypersonic reentry vehicle under unknown parameters and external disturbances. Firstly, the affine nonlinear system of HRV is established in the form of a cascade structure. Secondly, the robust attitude controller based on linear extended state observer, back-stepping method and adaptive control technique is proposed. An adaptive strategy is applied to identify the unknown parameters. Linear extended state observer is applied to observe and compensate the intricate external disturbances. control law and parameter adaptive law can be obtained, and the stability of closed-loop control system can be guaranteed by choosing the appropriate Lyapunov function. Finally, simulation results and discussions are presented to verify the effectiveness of the proposed control strategy.
Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, ...
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One of the key benefits of model predictive control is the capability of controlling a system proactively in the sense of taking the future system evolution into account. However, often external disturbances or refere...
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Optimal feedback design of dynamical systems is a significant topic in automaticcontrol community and information *** for nonlinear systems,optimal control design always leads to coping with the nonlinear Hamilton-Ja...
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Optimal feedback design of dynamical systems is a significant topic in automaticcontrol community and information *** for nonlinear systems,optimal control design always leads to coping with the nonlinear Hamilton-Jacobi-Bellman ***,it is intractable to acquire the analytic solution of the nonlinear Hamilton-JacobiBellman equation for general nonlinear systems.
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