Energy-saving control strategy for lighting system based on multivariate extremum seeking with Newton algorithm

Yin, Chun; Dadras, Sara; Huang, Xuegang; Mashino, Jun; Malek, Hadi; Cheng, Yuhua

doi:10.1016/j.enconman.2017.03.072

Cited by 80 publications

(33 citation statements)

References 29 publications

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“…In order to improve the accuracy of model parameters, we should investigate and analyze the actual situation of coal mine safety management by means of questionnaire survey and field visit, so as to improve the practicability of the model method in this paper. Besides, some optimal techniques should also be considered for improving control performance of the dynamical system, such as extremum seeking control (ESC) method [35,36]. We will continue our efforts to study the optimization of the dynamical system stability.…”

Section: Discussionmentioning

confidence: 99%

Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

Wang

et al. 2019

Complexity

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In this paper, we try to find the right control method for the game behavior instability in coal mine safety management. Through the analysis and comparison of the system stability with inflexible and flexible costs and penalties, it can be concluded that the dynamical game system with flexible costs (incentive rewards) and flexible penalty mechanism can significantly reduce the dynamics of unsafe behaviors in coal mine safety supervision. A combined mechanism of incentive rewards and flexible penalty is put forward to improve the stability of the dynamical system and control the instability of behaviors effectively. The results of model simulation show that the combined mechanism has very good property and can optimize and control the instability of behaviors and strategies of the interested parties. Based on the theoretical conclusions, some control strategies and policy advice are proposed for the improvement of the system and measures of safety management for government departments.

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Section: Discussionmentioning

confidence: 99%

Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

Wang

et al. 2019

Complexity

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“…According to the coordinate transformation, the translational dynamic model can be obtained as Equation (4). The rotational dynamic model can be obtained as Equation (5). Based on the above analysis, we achieved the position and attitude control of the quadrotor UAV through four inputs.…”

Section: Remarkmentioning

confidence: 99%

Design of Fractional‐Order Backstepping Sliding Mode Control for Quadrotor UAV

Shi

Cheng

Yin

et al. 2018

Asian Journal of Control

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This paper derives a nonlinear translational and rotational dynamic model of the quadrotor UAV. An original fractional-order backstepping sliding mode control method for a typical quadrotor UAV is presented. The new approach can decrease the chattering phenomenon and increase the robustness of control strategy. The strongly coupled characteristics of the under-actuated system are sought by the virtual controllers. The feasibility for different track trajectories are verified using MATLAB. The new control method can not only track the expected trajectory very well but also has a better robustness for different complex trajectory under disturbances, as the simulation results demonstrate.

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“…Considering formula (7), the relationship between the I b and the T isg-dmd can be simply expressed as [25]:…”

Section: Load Predictionmentioning

confidence: 99%

Hierarchical Model Predictive Control for Parallel Hybrid Electrical Vehicles

Song

et al. 2018

Asian Journal of Control

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One purpose of the control strategy for a parallel hybrid electric vehicle (PHEV) is to control the state of charge (SOC) of the battery to achieve a maximum powertrain efficiency. Because of the nonlinearity of the powertrain, the control strategy should implement nonlinear optimization in real time. This paper presents a new hierarchical optimal control design to execute real-time optimization on the basis of a model predictive control concept. The proposed control architecture suggests a two-layer control subjected to the related constraints according to the changing rate of different parameters. The prime controller optimizes the best trajectory of the state of charge according to the load detected by a load prediction module, while the second controller will apply the output signal from the prime controller along with the signal from the prediction module and the driver inputs to control the powertrain. Additionally, a new methodology to predict the future load imposed on the wheels is introduced. Through simulation and experiment results, it is shown that the proposed prediction control can effectively reduce fuel consumption and exhaust emission.

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Energy-saving control strategy for lighting system based on multivariate extremum seeking with Newton algorithm

Cited by 80 publications

References 29 publications

Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

Design of Fractional‐Order Backstepping Sliding Mode Control for Quadrotor UAV

Hierarchical Model Predictive Control for Parallel Hybrid Electrical Vehicles

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