In this paper, self-triggered consensus control problem is investigated for a class of multi-agent systems. Each agent computes its next update time instance at the predefined time. This control strategy extends subst...
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ISBN:
(纸本)9781479913329;9781479940998
In this paper, self-triggered consensus control problem is investigated for a class of multi-agent systems. Each agent computes its next update time instance at the predefined time. This control strategy extends substantially the existing work on event-triggered control, because in the self-triggered deployment the agents have no need to maintain the track of the state error that triggers the actuation between continuous update instants. A distributed self-triggered control procedure is presented for a special first-order multi-agents and is shown to achieve the rendezvous objective. The effectiveness of the proposed control method is illustrated by a numerical example.
Nonlinear model predictive control (NMPC) has been widely applied in the chemical industry for its performance of dealing with the multiple input multiple output problem (MIMO) and handling constraints. However, the p...
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ISBN:
(纸本)9781728102634
Nonlinear model predictive control (NMPC) has been widely applied in the chemical industry for its performance of dealing with the multiple input multiple output problem (MIMO) and handling constraints. However, the performance of NMPC would be affected by the accuracy of the model. The NMPC controller has to be robust to uncertainties in the model. In this paper, the scenario-tree based on multi-stage NMPC approach has been applied to the semi-batch polymerization reactor. In this approach, in order to ensure the reasonableness of the uncertain variables and scenario tree number, a Monte Carlo-based second-order nonlinear model and K-means cluster algorithm have been proposed. The weights of each scenario branches are also considered into variable. The simulation results show that the performance of the improved method is better and the variable weights has a good ability of improving the performance of controller.
Measurement-device-independent quantum key distribution removes all detector-side attacks in quantum cryptography, and in the meantime doubles the secure distance. The source side, however, is still vulnerable to vari...
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One of the central themes in classical cryptography is multi-party computation, which performs joint computation on multiple participants’ data while maintaining data privacy. The extension to the quantum regime was ...
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In this study, the authors study the issue of control of continuous switched systems based on the input and output strict passivity. First of all, for switched non-linear systems, by constructing non-linear controller...
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In this study, the authors study the issue of control of continuous switched systems based on the input and output strict passivity. First of all, for switched non-linear systems, by constructing non-linear controllers and an appropriate switching rule, a sufficient condition is given to guarantee the existence of a solution to the control problem based on the multiple Lyapunov functions method. It only requires that each subsystem exhibits input and output strict passivity in the activation interval, and not in the whole time domain. Next, for switched linear systems, a sufficient condition is obtained to guarantee the existence of a solution to the control problem based on the linear matrix inequality, and the controllers with explicit expressions of subsystems are designed. Finally, two examples are given to verify the feasibility and effectiveness of the results.
Quality-relevant fault detection plays an important role in industrial processes, while the current quality-related fault detection methods based on neural networks main concentrate on process-relevant variables and i...
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作者:
Yu CheZhou TianBoping LiuState Key Laboratory of Chemical Engineering
East China University of Science and Technology Meilong Road 130 Shanghai 200237 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 P.R.China
To solve the problem of poor robustness and low effectiveness of visual tracking in complex scenes, a novel target tracking algorithm based on adaptive observation weight is proposed in this paper. First of all, a wei...
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ISBN:
(纸本)9781509003914
To solve the problem of poor robustness and low effectiveness of visual tracking in complex scenes, a novel target tracking algorithm based on adaptive observation weight is proposed in this paper. First of all, a weighted observation model is established by linear visual tracking representation. Then an iterative optimization algorithm is proposed to obtain the parameters of the model, and adaptively update the weight matrix to eliminate negative influences of observation outliers. Finally, an effective likelihood evaluation function is adopted to track the object accurately and robustly. Analyzing both qualitatively and quantitatively on several challenging video sequences demonstrate that the algorithm outperforms other state-of-the-art tracking algorithms in tracking accuracy and robustness.
Universal quantum computation is usually associated with interaction among two-level quantum subsystems, as this interaction is commonly viewed as a necessity to achieve universal quantum computation. In this work, we...
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This paper investigates the problem of non-fragile static output feedback control (SOF) design for discrete-time linear systems. Interval type of additive gain variations to reflect imprecision in controller implement...
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This paper investigates the problem of non-fragile static output feedback control (SOF) design for discrete-time linear systems. Interval type of additive gain variations to reflect imprecision in controller implementation is considered. The non-fragile SOF controller design is firstly formulated as a robust convex problem. Then a deterministic algorithm and a randomized one are proposed to solve the obtained robust convex problem. These two algorithms complements each other. The deterministic algorithm is suitable for systems with low dimensions, while the randomized one is applicable for systems with high dimensions. In addition, the randomized algorithm can alleviate the conservatism of the deterministic one. Two examples are given to show the effectiveness of the proposed method.
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