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Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Frontiers in Energy 2018, Volume 12, Issue 4, Pages 550-559 doi: 10.1007/s11708-018-0593-8

Abstract: This paper proposes a dynamic programming method in smoothing ramp events.Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programmingproblem, and the dynamic programming method proposed is applied to solve the optimization problem.The results show that the dynamic programming method proposed is effective for smoothing wind power and

Keywords： energy internet wind power ramp events dynamic programming

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Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 3, Pages 333-341 doi: 10.1007/s11708-013-0259-5

Abstract: There are many conventional and evolutionary programming techniques used for solving the unit commitmentDynamic programming (DP) is a conventional algorithm used to solve the deterministic problem.

Keywords： unit commitment (UC) deterministic stochastic dynamic programming (DP) optimization state diagram

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The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 62-65

Abstract:

Backward recurrent method is usually adopted in seeking optimal solution by dynamic programming.A forward recurrent method to find optimal solution by dynamic programming is presented on the basisThe fundamental equation of dynamic programming and Millton-Jacobi's equation are also derived.It's an exploratory study on optimal solution of dynamic programming.

Keywords： dynamic programming multi-level decision functional equation optimal solution

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Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Strategic Study of CAE 2000, Volume 2, Issue 9, Pages 65-69

Abstract: Based on the concepts of the fuzzy weighted distance and membership degree, the fuzzy optimum selection dynamicprogramming technique that can be used for the optimization of multi-objective and multi-stage systemsare developed by means of the combination of fuzzy optimum selection theory with dynamic programming

Keywords： multi-stage multi-objective optimization fuzzy optimum selection dynamic programming membership degree

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Dynamic Setting Automatic Control System for Flatness and Gauge

Zhang Jinzhi,Duan Chunhua

Strategic Study of CAE 2000, Volume 2, Issue 6, Pages 67-72

Abstract: characteristics is that shape and gauge close-circuit control is achieved by means of static load distribution, dynamicload distribution and dynamic setting Automatic Gauge Control (AGC), and Bellman dynamic programming

Keywords： dynamic load distribution shape optimal schedule dynamic programming dynamic setting

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Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0753-3

Abstract: synergistic robustness and smooth navigation of mobile robots subjected to motion uncertainties in a dynamicTo address this challenge, this paper proposes an obstacle-circumventing adaptive control (OCAC) frameworkSpecifically, a novel anti-disturbance terminal slide mode control with adaptive gains is formulated,By introducing sub-target points, a new sub-target dynamic tracking regression obstacle avoidance strategyis presented to transfer the obstacle avoidance problem into a dynamic tracking one, thereby reducing

Keywords： four-wheeled mobile robot obstacle-circumventing adaptive control adaptive anti-disturbance terminalsliding mode control sub-target dynamic tracking regression obstacle avoidance

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Adaptive selective ES-FEM limit analysis of cracked plane-strain structures

H. NGUYEN-XUAN,T. RABCZUK

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4, Pages 478-490 doi: 10.1007/s11709-015-0317-7

Abstract: The master level handles an adaptive primal-mesh process through a dissipation-based indicator.The limit analysis problem is recast into the compact form of a second-order cone programming (SOCP)

Keywords： cracked structure limit analysis von Mises criterion edge-based strain smoothing second-order cone programming adaptive

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Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and

Xiao-ping BAI,Ya-nan LIU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4, Pages 462-471 doi: 10.1007/s11709-016-0361-y

Abstract: Dynamic reliability is a very important issue in reliability research.The dynamic reliability analysis for the project is still in search of domestic and international researchThe paper aims to research the dynamic reliability optimization.Furthermore, a novel nonlinear programming mathematic optimization model is established.In the Insight software environment, the Adaptive Simulated Annealing (ASA) algorithm is used to get

Keywords： civil engineering dynamic reliability grey relational degree adaptive simulated annealing algorithm

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Minimax Q-learning design for H_∞ control of linear discrete-time systems Research Articles

Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG,lixinxing_1006@163.com,xilele.bit@gmail.com,zhawenzhong@126.com,peng@bit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 438-451 doi: 10.1631/FITEE.2000446

Abstract: The method is an effective approach for attenuating the effect of disturbances on practical systems, but it is difficult to obtain the ler due to the nonlinear Hamilton–Jacobi–Isaacs equation, even for linear systems. This study deals with the design of an ler for linear discrete-time systems. To solve the related game algebraic Riccati equation (GARE), a novel model-free method is developed, on the basis of an offline algorithm, which is shown to be Newton’s method for solving the GARE. The proposed method, which employs off-policy , learns the optimal control policies for the controller and the disturbance online, using only the state samples generated by the implemented behavior policies. Different from existing -learning methods, a novel gradient-based policy improvement scheme is proposed. We prove that the method converges to the saddle solution under initially admissible control policies and an appropriate positive learning rate, provided that certain persistence of excitation (PE) conditions are satisfied. In addition, the PE conditions can be easily met by choosing appropriate behavior policies containing certain excitation noises, without causing any excitation noise bias. In the simulation study, we apply the proposed method to design an load-frequency controller for an electrical power system generator that suffers from load disturbance, and the simulation results indicate that the obtained load-frequency controller has good disturbance rejection performance.

Keywords： H∞ control Zero-sum dynamic game Reinforcement learning Adaptive dynamic programming Minimax Q-learning

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Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Frontiers of Engineering Management 2021, Volume 8, Issue 3, Pages 321-343 doi: 10.1007/s42524-021-0152-6

Abstract: ., they are built on hypothesis testing and dynamic programming, respectively.

Keywords： ranking and selection hypothesis testing dynamic programming simulation

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Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game Research Article

Hongyang LI, Qinglai WEI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1010-1019 doi: 10.1631/FITEE.2200010

Abstract: This paper presents a novel method for with . The multi-agent game theory is introduced to transform the problem into a multi-agent . Then, the Nash equilibrium can be achieved by solving the coupled Hamilton–Jacobi–Bellman (HJB) equations with nonquadratic input energy terms. A novel method is presented to obtain the Nash equilibrium solution without the system models, and the critic neural networks (NNs) and actor NNs are introduced to implement the presented method. Theoretical analysis is provided, which shows that the iterative control laws converge to the Nash equilibrium. Simulation results show the good performance of the presented method.

Keywords： Optimal synchronization control Multi-agent systems Nonzero-sum game Adaptive dynamic programming

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Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Strategic Study of CAE 2003, Volume 5, Issue 12, Pages 73-79

Abstract: of the characteristic of being influenced or constrained by time-space, a new method of changing its dynamicMeanwhile, Linear Programming is introduced to solve the problem.

Keywords： rock-fill dam construction earth allocation dynamic allocation linear programming visualization

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Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear Article

Xiao-yu ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12, Pages 1331-1343 doi: 10.1631/FITEE.1500318

Abstract: Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presentedTo obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical systemThe overall system is adaptive, asymptotically stable, and chattering-free.

Keywords： Nonlinear system Discrete system Dynamic fuzzy logical system Direct adaptive Sliding mode control

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Mixture test strategy optimization for analog systems

梅文娟,刘震,李欧行,苏元章,梅渝松,龙泳吉

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1302-1315 doi: 10.1631/FITEE.2200512

Abstract: To overcome the above weaknesses, we propose a novel approach called heuristic programming (HP) to generate

Keywords： Fault diagnosis Heuristic searching Dynamic programming Test optimization

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Connected Vehicle Based Traffic Signal Coordination Article

Wan Li, Xuegang Ban

Engineering 2020, Volume 6, Issue 12, Pages 1463-1472 doi: 10.1016/j.eng.2020.10.009

Abstract: , we decompose the problem into two levels: an intersection level to optimize phase durations using dynamicprogramming (DP), and a corridor level to optimize the offsets of all intersections.

Keywords： Connected vehicles Traffic signal coordination Dynamic programming Two-level optimization Mixed-integer