Design and optimization of weed control mechanism with complex motion trajectory gear system by LIU Jiaodi, YAO Zhijie, ZHONG Chunyan, CHEN Qingli, ZHANG Xiaolong, QUAN Longzhe

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Optimal control of manipulator with joint clearance compensation via generalized policy learning by Wenting Liu, Qingliang Zeng, Zhiwen Wang, Jun Zhao, Lin Kong

“…This article proposes a novel adaptive optimal clearance compensation tracking control method for dynamic manipulator systems with joint clearance. …”
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Fractional Optimal Control with Fish Consumption to Prevent the Risk of Coronary Heart Disease by I. Ameen, M. Hidan, Z. Mostefaoui, H.M. Ali

“…A fractional optimal control problem (FOCP) with a proposed control is formulated and studied theoretically using the Pontryagin maximum principle, to minimize the susceptible population and also to decrease the mortality rate of CHD. …”
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Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

“…For complex scenarios where the reward function cannot be achieved or is only with sparse rewards, we proposed a novel supervised optimal control framework based on trajectory imitation (TI) and reinforcement learning (RL) in this paper. …”
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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning by Zhenhai Gao, Dayu Liu, Chengyuan Zheng

“…The results highlight the effectiveness of the proposed V2X decision optimization framework and cloud control platform in enhancing the decision quality and safety of autonomous driving systems.…”
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The optimal modeling method of specific tuberculosis peritonitis (experimental research) by D. V. Plotkin, T. I. Vinogradova, M. N. Reshetnikov, Yu. R. Zyuzya, M. S. Serdobintsev, M. N. Sinitsyn

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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The tasks to be solved are: study the stability of a closed-loop control system with a neural network controller, train the neurocontroller and Lyapunov neural network function, create an optimization model for the loss function minimization, and conduct a computational experiment as an example of the neural network stabilizing controller synthesis. …”
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Adaptive Hybrid PSO-Embedded GA for neuroevolutionary training of multilayer perceptron controllers in VSC-based islanded microgrids by Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg

“…The primary objective is to enhance the neuroevolutionary training of multilayer perceptron-based controllers (MLPCs) through the joint optimization of model parameters and structural hyperparameters. …”
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Stochastic Optimal Control of Averaged SDDE with Semi-Markov Switching and with Application in Economics by Mariya Svishchuk, Anatoliy V. Swishchuk

“…This paper is devoted to the study of stochastic optimal control of averaged stochastic differential delay equations (SDDEs) with semi-Markov switchings and their applications in economics. …”
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Optimization of Cellular Automata Model for Moving Bottlenecks in Urban Roads by Weijie Xiu, Shijie Luo, Kailong Li, Qi Zhao, Li Wang

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Optimization and Security Analysis of Interconnected Security Control Based on Semantic of Process Communication by Bo LU, Yueming LU

“…Facing the demand of multi-domain security control in the integrated network of air and ground, to solve the problem that singleprocess regular matching restricts the performance of interconnected security gateway, the method of high-performance optimization of interconnected security control based on semantic security analysis of process communication was proposed.The interaction model of master-slave processes was described in a parallel programming language in the method.The state transition system semantics were given to accurately express the combined semantics of the master-slave processes.The security of master-slave processes in combinatorial semantics was analyzed, which ensured that the parallel running of processes had no deadlock and starvation, and was equivalent to the original regular matching.Experimental results showed that the proposed method could give full play to the advantages of multi-core hardware and reduced the context switching overhead of the scheduler.In the case of complex regular expressions, the method was an order of magnitude better than single-core running.…”
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Optimization method for attribute-based cryptographic access control in mobile cloud computing by Jian LIU, Ming XIAN, Huimei WANG, Hong RONG

“…For the problem of secure data sharing and access control in mobile cloud,the drawback of traditional cryptographic access control schemes was deeply analyzed.Considering the truth that mobile devices were usually equipped with limited resources,an optimized attribute-based cryptographic access control scheme was proposed in this study.In the proposed scheme,a third party proxy was introduced into the system model,and the two-layer encryption method was applied.Combining traditional attribute-based encryption (ABE) algorithm with multi-secret sharing and split measurement of ABE encryption,the scheme could greatly reduce the cost of mobile users in terms of data publish and access management.Theoretical and experimental analysis shows that the contribution can well meet the requirements of mobile cloud in terms of security,computational complexity and communication cost,which means that it is promising for future applications.…”
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Optimization and Security Analysis of Interconnected Security Control Based on Semantic of Process Communication by Bo LU, Yueming LU

“…Facing the demand of multi-domain security control in the integrated network of air and ground, to solve the problem that singleprocess regular matching restricts the performance of interconnected security gateway, the method of high-performance optimization of interconnected security control based on semantic security analysis of process communication was proposed.The interaction model of master-slave processes was described in a parallel programming language in the method.The state transition system semantics were given to accurately express the combined semantics of the master-slave processes.The security of master-slave processes in combinatorial semantics was analyzed, which ensured that the parallel running of processes had no deadlock and starvation, and was equivalent to the original regular matching.Experimental results showed that the proposed method could give full play to the advantages of multi-core hardware and reduced the context switching overhead of the scheduler.In the case of complex regular expressions, the method was an order of magnitude better than single-core running.…”
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MODEL OF OPTIMAL REGULATION OF NON-OBSERVABLE (HIDDEN) RANDOM PROCESS by D. LEDNOV

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Dynamic characteristics and model optimization of gas adsorption in loaded coal by Jiangwei YAN, Tianke RONG, Xiang FENG, Rui SUN, Juntong LI

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Disturbance Observer-Based Optimal Active Suspension Control for Vehicle-Trailer Systems by Yonghwan Jeong

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A New LQR Optimal Control for a Single-Link Flexible Joint Robot Manipulator Based on Grey Wolf Optimizer by Navid Razmjooy, Mehdi Ramezani, Ali Namadchian

“…An optimized Linear Quadratic Regulator is employed to control the manipulator. …”
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Approximation of an Optimal BV -Control Problem in the Coefficient for the p(x)-Laplace Equation by Ismail Aydin, Peter Kogut

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FPGA-Based Hardware in the Loop of Optimized Synergetic Controller for Active Power Filter by Habib Bey, Fateh Krim, Oussama Gherouat

“…This paper presents a discrete-time synergetic controller (DTSC) enhanced with ant colony optimization (ACO) technique for a shunt active power filter (SAPF). …”
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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

“…Among them, the bullet model has the lowest CD. Compared with the basic model, the drag reduction rate is 28%, and the coefficient of drag is simulated. …”
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