For predictive control in industry often very long horizons for control error and manipulated signal are used because of the slow processes which take place in the petrochemical industry. In order to reduce the comput...
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The paper deals with the simultaneous estimation of the process and noise parameters in linear dynamic errors-in-variables models. The presented method is based on the minimization of loss functions to estimate all th...
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The paper deals with the simultaneous estimation of the process and noise parameters in linear dynamic errors-in-variables models. The presented method is based on the minimization of loss functions to estimate all the parameters in the EIV model. The related loss functions involve Hankel matrices built up by the noisy input-output observations, as well as error covariance matrices taking the assumptions made for the noisy environment into consideration. The theoretical results are verified by simulation examples.
Need of use of computer technology for conceptual design of control systems' elements for electric power system was proved. The known approaches to the solution of this task are analysed and need of their developm...
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The outstanding feature of the pneumatic artificial muscle is its high power to weight ratio vastly outperforming both pneumatic cylinder and DC motor. This feature is very important for using of pneumatic muscle-base...
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ISBN:
(纸本)9789811136719
The outstanding feature of the pneumatic artificial muscle is its high power to weight ratio vastly outperforming both pneumatic cylinder and DC motor. This feature is very important for using of pneumatic muscle-based actuators in industrial robotic systems where high forces and stiffness of mechanism are often required. The most common so far produced and used type of pneumatic artificial muscle is McKibben muscle and it is now made commercially available by different companies (e.g. Festo). In the paper there are described some of its characteristics and principles of control important for using as actuator for industrial robotic applications.
This paper is focused on reference tracking and disturbance rejection for linear time-invariant time delay systems. The contribution is motivated by the fact that the task of reference tracking and disturbance rejecti...
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This paper is focused on reference tracking and disturbance rejection for linear time-invariant time delay systems. The contribution is motivated by the fact that the task of reference tracking and disturbance rejection for non-stepwise those external inputs in the feedback loop is often ignored in the literature. The presented approach is based on algebraic operations in a special ring RMS and on the divisibility condition in the ring. The general idea for a feedback loop with two controllers is introduced. The methodology is clarified and verified by a simulation example in the Matlab/Simulink environment.
The paper derives a framework suitable to discuss the errors-in-variables (EIV) and the maximum likelihood (ML) estimation algorithms to estimate linear system parameters in a unified way. Using the capability of the ...
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The paper derives a framework suitable to discuss the errors-in-variables (EIV) and the maximum likelihood (ML) estimation algorithms to estimate linear system parameters in a unified way. Using the capability of the unified approach a new parameter estimation algorithm is presented offering flexibility to ensure acceptable variance in the estimated parameters. The developed algorithm is based on the application of Hankel matrices of variable size and can be considered as an extended version of the EIV method.
Nowadays, many technical devices are controlled by logic circuits. These circuits evaluate the situation based on the proposed truth functions, which they then use to perform one of the defined actions. In line with t...
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According to the multi-model approach a nonlinear dynamical process is approximated in different working points by local valid linear models. The global valid model output is calculated as the weighted sum of the sub-...
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Abstract Physiological control mechanisms are receiving an increasing amount of attention due to their primary role in homeostasis, while systems theory is becoming an indispensable tool for understanding the dynamic ...
Abstract Physiological control mechanisms are receiving an increasing amount of attention due to their primary role in homeostasis, while systems theory is becoming an indispensable tool for understanding the dynamic behaviors that emerge. In this context, a topic that has been intensively studied is the nervous control of the cardiovascular system on short term. This paper tries to develop a common framework for future efforts in modeling the nervous control of the cardiovascular system in orthostatic stress, through a systemic analyze of the roles and interactions of the regulatory mechanisms identified in the literature.
In this study a model-based control designed for the operation of a solar power plant is discussed. The simplified physically based model of the plant was developed on the basis of the energy balances including the so...
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