An expansion procedure to design partially decentralized controllers via model predictive control is proposed in this paper. Partially decentralized control is a control structure that lies between a fully decentraliz...
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An expansion procedure to design partially decentralized controllers via model predictive control is proposed in this paper. Partially decentralized control is a control structure that lies between a fully decentralized structure and a fully centralized one, and has the advantage of achieving comparable performance as a fully centralized controller but with simpler structure. The proposed method follows the expansion method proposed in a previous paper where internal model control (IMC) was used to design controllers for non-square subsystems. The method requires computing the pseudo-inverse of a non-square matrix via pseudo-inverse factors. Instead, the proposed method will use dynamic model control (DMC) to design PID controllers for non-square sub-systems without using additional factors. Simulation results show that the proposed method is simple and can achieve better performance than fully decentralized control.
Partially decentralized control is a control structure that lies between a fully decentralized structure and a fullycentralized one, and has the advantage of achieving comparable performance as a fully centralized con...
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Partially decentralized control is a control structure that lies between a fully decentralized structure and a fullycentralized one, and has the advantage of achieving comparable performance as a fully centralized controller but with simplerstructure. This paper proposes an expansion procedure to design partially decentralized controllers via generalized predictivecontrol (GPC). The proposed method does not need to compute the pseudo-inverse of a non-square system thus overcomes thedrawbacks of the existing expansion method proposed in a previous paper. Simulation results show that the proposed method issimple and can achieve better performance than the previous method.
To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presen...
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To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presented based on the common Lyapunov function method and the adaptive backstepping method. This approach combines the features of adaptive backstepping control and the design requirements of a common Lyapunov function, and the adaptive controller for every sub-system and the parameter adaptive estimators for the uncertainty upper bound are designed by backstepping control, then taking the Lyapunov function designed by backstepping as a common Lyapunov function to ensure that the system is asymptotically stable under arbitrary switching. It is easy to select the common Lyapunov function by the combination of backstepping and the common Lyapunov function method, and the problem of parameter jumping and parameter slow time-varying existing at the same time is solved. Simulation results demonstrate that the designed controllers can ensure not only good dynamic and static performance for the hydraulic servo position system of a rolling mill, but also good robustness for the system parameter jumping and parameter slow time-varying.
Most of the existing iterative learning control algorithms proposed for time-delay systems are based on the condition that the time-delay is precisely available, and the initial state is reset to the desired one or a ...
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Most of the existing iterative learning control algorithms proposed for time-delay systems are based on the condition that the time-delay is precisely available, and the initial state is reset to the desired one or a fixed value at the start of each operation, which makes great limitation on the practical application of corresponding results. In this paper, a new iterative learning control algorithm is studied for a class of nonlinear system with uncertain state delay and arbitrary initial error. This algorithm needs to know only the boundary estimation of the state delay, and the initial state is updated, while the convergence of the system is guaranteed. Without state disturbance and output measurement noise, the system output will strictly track the desired trajectory after successive iteration. Furthermore, in the presence of state disturbance and measurement noise, the tracking error will be bounded uniformly. The convergence is strictly proved mathematically, and sufficient conditions are obtained. A numerical example is shown to demonstrate the effectiveness of the proposed approach.
In order to overcome the characteristics of uncertainty and incomplete information of fault attribute in searching for fault, a new fault search method based on the fault tree and grey fuzzy multi-attribute decision-m...
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This paper discusses period properties of some linear maps which are employed in various applications such as image encryption, public key cryptography and watermarking. Conditions for the bijectiveness of such maps a...
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This paper discusses period properties of some linear maps which are employed in various applications such as image encryption, public key cryptography and watermarking. Conditions for the bijectiveness of such maps and the existence of a period are presented. Period structure is also given. Then, the recurrence equation theory is adopted to address the period distribution problem. Finally, a framework to solve the problem is proposed with a demonstration of its effectiveness and efficiency into some applications.
Barrier coverage problem in emerging mobile sensor networks has been an interesting research issue. Existing solutions to this problem aim to decide one-time movement for individual sensors to construct as many barrie...
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ISBN:
(纸本)9781467307734
Barrier coverage problem in emerging mobile sensor networks has been an interesting research issue. Existing solutions to this problem aim to decide one-time movement for individual sensors to construct as many barriers as possible, which may not work well when there are no sufficient sensors to form a single barrier. In this paper, we try to achieve barrier coverage in sensor scarcity case by dynamic sensor patrolling. In specific, we design a periodic monitoring scheduling (PMS) algorithm in which each point along the barrier line is monitored periodically by mobile sensors. Based on the insight from PMS, we then propose a coordinated sensor patrolling (CSP) algorithm to further improve the barrier coverage, where each sensor's current movement strategy is decided based on the past intruder arrival information. By jointly exploiting sensor mobility and intruder arrival information, CSP is able to significantly enhance barrier coverage. We prove that the total distance that the sensors move during each time slot in CSP is the minimum. Considering the decentralized nature of mobile sensor networks, we further introduce two distributed versions of CSP: S-DCSP and G-DCSP. Through extensive simulations, we demonstrate that CSP has a desired barrier coverage performance and S-DCSP and G-DCSP have similar performance as that of CSP.
Efficient electron transfer among microbes,azo dye and anode is a key factor for simultaneous azo dye decolorization and electricity generation in microbial fuel cell (MFC).In this study,natural mediator-humic acid (H...
Efficient electron transfer among microbes,azo dye and anode is a key factor for simultaneous azo dye decolorization and electricity generation in microbial fuel cell (MFC).In this study,natural mediator-humic acid (HA) was introduced to enhance such extracellular electron *** results showed that the addition of HA greatly enhanced azo dye decolorization and electricity generation *** of 5g/L HA resulted in 45% increase in maximum power density and almost 300% increase in decolorization rate of Congo *** data of reduction in anode polarization resistance and accelerated reductive decolorization of Congo red in the presence of HA indicated that HA is particularly effective in facilitate electrons transfer from microbes to azo dye and microbes to *** gradient gel electrophoresis and direct 16S ribosomal DNA gene nucleotide sequencing revealed that the addition of HA did not change the microbial community composition in the MFC but result in the growth of some dominant bacterial *** species were most likely to utilize HA as mediator to accelerate the rate of electrons transfer involved in both electricity generation and azo dye decolorization.
An adaptive controller is proposed for the position tracking of an electrohydraulic servo system with uncertainties and input saturation. Firstly, fuzzy logic is employed to approximate the unknown nonlinear uncertain...
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In order to resolve the detection problem of coal mine gas content detection, and ensure the personal safety under the ground, we design the gas content detection system which based on the technology of ZigBee. The sy...
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