Schools are suitable type of buildings for Indoor Air Quality (IAQ) measurements. This is justified by the fact that IAQ measurements can ensure a comfortable and healthy environment for educational purposes. The aim ...
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Schools are suitable type of buildings for Indoor Air Quality (IAQ) measurements. This is justified by the fact that IAQ measurements can ensure a comfortable and healthy environment for educational purposes. The aim of this study is to assess IAQ measurement correlations in 10 school buildings and more detailed correlations and variations in two school buildings. The study also shows challenges related to data transfer in school buildings when sensor or sensors are installed on a different floor than the data transfer unit. In conclusion, both schools' IAQ is good on school days during the research period when the ventilation is switched on. Hence, usually abnormal situations on IAQ occurred in the evenings when the ventilation is switched off.
Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and f...
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ISBN:
(纸本)9781479909964
Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and fault tolerance. In this paper, a proposed framework is presented aiming to tackle the aforementioned problem. In this context, a Linear Quadratic Gaussian (LQG) controller is presented and applied to an Electro-Magnetic Suspension (EMS) system. Furthermore, the LQG solution is compared to a Multi-Objective (M.O.) H_∞ and H_∞ controller design via loop-shaping method using realistic simulations. A particular contribution is the use of Sensor Fault Accommodation Ratio (SFAR) in the LQG scheme providing useful conclusions on the optimised sensor selection for the EMS system. It is concluded that the framework can be extended to other industrial applications.
In this paper a new approach for fast rejection of unknown multiharmonic disturbance is proposed. To design this algorithm the method of cascade reduction is used that allows to accelerate the process of convergence o...
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In this paper a new approach for fast rejection of unknown multiharmonic disturbance is proposed. To design this algorithm the method of cascade reduction is used that allows to accelerate the process of convergence of unknown frequencies estimates. Additionally, the proposed approach differs from the known results. In this article we consider the case of disturbance rejection, when a relative degree of the plant can be arbitrary and only an output is variable, the control signal is measured and the control channel is characterized by delay.
The problem of control design for a class of nonlinear system is considered. It is assumed that the linear part is unknown and minimum phase. The nonlinear part is known inaccurately, it is irreducible to an input of ...
The problem of control design for a class of nonlinear system is considered. It is assumed that the linear part is unknown and minimum phase. The nonlinear part is known inaccurately, it is irreducible to an input of the linear block, and generally does not satisfy sector restrictions. A regulator ensuring semiglobal stability is designed. The output of a plant, but not its derivatives is used as a measured variable. Some application results of proposed output control algorithm for a number of Lego Mindstorms NXT mobile robots (track, wheel and walking ones) are presented in the paper.
In this paper the new control approach for a class of nonlinear MIMO systems with unknowns is proposed. The mathematical model is divided on two parts: static MIMO transformation and a few SISO channels that allows to...
In this paper the new control approach for a class of nonlinear MIMO systems with unknowns is proposed. The mathematical model is divided on two parts: static MIMO transformation and a few SISO channels that allows to design the control law in two steps. At the first step we design the virtual controls for each SISO channel and then after the inverse MIMO transformation we propose the control law for considered system. In the paper the recent advantages in the development of adaptive output control approach using high-gain principle named by the authors as “consecutive compensator” is applied for SISO channels. We present the robotic research setup designed for analysis of control algorithms oriented to complex technical objects. This setup is a model of real plant with similar constraints for developers: parametric uncertainty, delay, disturbances, and bounded control.
In the paper the recent advantages in the development of adaptive output control approach using high-gain principle named by the authors as "consecutive compensator" is applied for SISO channels. The new app...
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ISBN:
(纸本)9781479909964
In the paper the recent advantages in the development of adaptive output control approach using high-gain principle named by the authors as "consecutive compensator" is applied for SISO channels. The new approach for a class of nonlinear MIMO systems with parametric uncertainties and state-delays is proposed. The mathematical model is divided on two parts: static MIMO transformation and a few SISO channels that allows to design the control law in two steps. At the first step we design the virtual controls for each SISO channel and then after the inverse MIMO transformation we propose the control law for considered system. We present also the robotic setup designed for analysis of control algorithms oriented to complex technical objects.
The problem of control design for a class of non-linear system with multisinusoidal disturbance is considered. It is assumed that the linear part is unknown and minimum phase. The nonlinear part is known inaccurately,...
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ISBN:
(纸本)9781479909964
The problem of control design for a class of non-linear system with multisinusoidal disturbance is considered. It is assumed that the linear part is unknown and minimum phase. The nonlinear part is known inaccurately, it is irreducible to an input of the linear block, and generally does not satisfy sector restrictions. An output controller ensuring semiglobal stability is designed. controller was supplemented with the cancellation scheme of a multisinusoidal external disturbance that improves performance without its significant complication.
Introduction: Generating optimal control algorithms for an artificial pancreas is an intensively researched problem. The available models are all nonlinear and rather complex. Model predictive control or run-to-run-ba...
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This paper deals with control algorithms development for output stabilization of the parametrically uncertain linear plant of unknown relative degree. Simple adaptive control paradigm lies in the basis of proposed app...
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