Suchergebnisse - Evolutionary algorithms in control and identification

Learning Approximate Symbolic Solutions to Burgers' Equation using Symbolic Regression von Cohen, Benjamin G, Beykal, Burcu, Bollas, George M

“… This work explores the application of symbolic regression to learn symbolic solutions to Burgers' equation without data. We demonstrate a stepwise symbolic …”
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A New Closed-Loop Input Error Approach for Industrial Robot Manipulator Identification Based on Evolutionary Algorithms von Huang, Hao-Lun, Cheng, Ming-Yang

“… By exploiting the concept of closed-loop input error (CLIE), this article proposes an identification approach for the dynamic parameters of industrial robot manipulator based on evolutionary algorithms (EAs …”
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Time-Domain Structural Damage Identification Using Ensemble Bagged Trees and Evolutionary Optimization Algorithms von Mahdavi, Seyed Hossein, Xu, Chao

“… ) paradigm in conjunction with evolutionary optimization algorithms. The proposed model incorporates the actual response, wavelet coefficients, and wavelet energy …”
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Evolutionary identification of hidden chaotic attractors von Zelinka, Ivan

“… As demonstrated in previous research papers, evolutionary algorithms are capable of chaotic system control, identification or synthesis and vice versa, chaos can be observed in the evolutionary dynamics …”
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A Multiple Objective Approach to Direct Load Control Using an Interactive Evolutionary Algorithm von Gomes, A., Antunes, C.H., Martins, A.G.

“… This paper describes the use of an interactive evolutionary algorithm for the identification and selection of direct load control actions in electrical distribution networks …”
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Robust identification of non-linear greenhouse model using evolutionary algorithms von Herrero, J.M., Blasco, X., Martínez, M., Ramos, C., Sanchis, J.

“… For the optimization task, a special evolutionary algorithm ( ε -GA) is presented, which characterizes the FPS by means of a discrete set of models that are well distributed along the FPS …”
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Identification of Passive Devices for Vibration Control by Evolutionary Algorithms von Palmeri, Alessandro, Quaranta, Giuseppe, Avakian, Jennifer, Marano, Giuseppe

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Improved differential evolutionary algorithm for nonlinear identification of a novel vibration‐assisted swing cutting system von Lu, Mingming, Wang, Hao, Zhao, Dongpo, Lin, Jieqiong, Gu, Yan, Yi, Allen

“… However, system identification is key if you want to achieve precise control. In order to solve this problem, a new improved differential evolutionary (IDE …”
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A novel approach on evolutionary dynamics analysis – A progress report von Zelinka, Ivan, Tomaszek, Lukas, Vasant, Pandian, Dao, Tran Trong, Hoang, Duy Vo

“… As demonstrated in many research papers, evolutionary algorithms are capable of very complex tasks such as chaotic system control, identification or synthesis and vice versa …”
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Identification of Bouc–Wen hysteretic systems by a hybrid evolutionary algorithm von Charalampakis, A.E., Koumousis, V.K.

“… It is based on a hybrid evolutionary algorithm which utilizes selected stochastic operators, heuristics and problem-specific information …”
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Hybrid evolutionary algorithm for identification and control of time varying system von El-Bardini, M.

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Parameter identification for discrete memristive chaotic map using adaptive differential evolution algorithm von Peng, Yuexi, He, Shaobo, Sun, Kehui

“… This paper focuses on the parameter identification for the discrete memristive chaotic map, and a modified intelligent optimization algorithm named adaptive differential evolution algorithm is proposed …”
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Research on Multistrategy Improved Evolutionary Sparrow Search Algorithm and its Application von Gao, Bingwei, Shen, Wei, Guan, Hao, Zheng, Lintao, Zhang, Wei

“… optimal solution, a multi-strategy improved evolutionary sparrow search algorithm (MSSA) is proposed. The introduction of the tent chaotic map improves the diversity …”
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Parameter Identification of Flexible Link Manipulators Using Evolutionary Algorithms von Lara-Molina, Fabian Andres

“… This paper addresses the parameter identification of a one-link flexible manipulator based on the experimental measurement of the inputs/outputs, the finite element model, and the application of evolutionary algorithms …”
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Modeling and identification of rate-dependent and asymmetric hysteresis of soft bending pneumatic actuator based on evolutionary firefly algorithm von Ru, Hongge, Huang, Jian, Chen, Wenbin, Xiong, Caihua

“… However, motion control is still challenging because of the complicated hysteresis of the elastic material and pneumatic system, which unlike the general hysteresis found in the rigid body mechanism …”
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A review on computational intelligence for identification of nonlinear dynamical systems von Quaranta, Giuseppe, Lacarbonara, Walter, Masri, Sami F.

“… Both parametric and nonparametric identification problems are considered. The examined computational intelligence techniques for parametric identification deal with genetic algorithm, particle swarm optimization, and differential evolution …”
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Design of fractional-order hammerstein control auto-regressive model for heat exchanger system identification: Treatise on fuzzy-evolutionary computing von Mehmood, Ammara, Raja, Muhammad Asif Zahoor, Ninness, Brett

“… estimation and complexity. This study deals with a presentation of new design of fractional-order nonlinear Hammerstein control auto-regressive (FO-NHCAR …”
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Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle von Yang, Zhi-Cheng, Rahmani, Armin, Shabani, Alireza, Neven, Hartmut, Chamon, Claudio

“… We use Pontryagin’s minimum principle to optimize variational quantum algorithms …”
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Evolutionary Modular Robotics: Survey and Analysis von Alattas, Reem J., Patel, Sarosh, Sobh, Tarek M.

“… A number of studies have demonstrated the feasibility of evolutionary algorithms for generating robotic control and morphology …”
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Masked Multiple State Space Model Identification Using FRD and Evolutionary Optimization von Efe, Mehmet Onder, Kurkcu, Burak, Kasnakoglu, Cosku, Mohamed, Zaharuddin, Liu, Zhijie

“… Identification of dynamical systems from frequency response data (FRD) has extensively been studied and effective techniques have been developed …”
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