Search Results - (( java implication based algorithm ) OR ( parameter adaptation force algorithm ))

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  1. 1

    Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms by Mailah, Musa, Ong, Miaw Yong

    Published 2001
    “…These parameters are adaptively computed on-line while the robot is executing a trajectory tracking task and subject to some forms of external disturbances. …”
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    Article
  2. 2

    Adaptive active force control of a robotic arm employing twin iterative learning algorithms / Musa Mailah and Ong Miaw Yong by Mailah, Musa, Ong, Miaw Yong

    Published 2004
    “…The paper highlights a novel and robust method to control a robotic arm using iterative learning technique embedded in an active force control strategy. Two iterative learning algorithms are employed in the study - the first is used to tune automatically the controller gains while the second to estimate the inertia matrix of the robotic arm. …”
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    Article
  3. 3

    Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

    Published 2019
    “…The obtained new locations for all the particles are necessary in estimating the interaction force of each particle. The combination of psychological and physical parameters in Self-Adaptive SFM makes it more realistic and mimicked the dynamic motion of people in a crowd. …”
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    Article
  4. 4

    Adaptive impedance control for unknown non-flat environment by Zainul Azlan, Norsinnira, Yamaura, Hiroshi

    Published 2013
    “…The force error feedback is utilized in the estimation and the accurate knowledge of the environment parameters are not required by the algorithm. …”
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    Article
  5. 5

    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization by Majid, Mad Helmi Ab.

    Published 2019
    “…In this study, a complete solution to the two scenarios through an adaptive algorithm switching strategy is explored. …”
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    Thesis
  6. 6

    Refinement of Tuned Mass Damper parameters on machine support structure using dynamic Cuckoo Search algorithm by Ahmad Muinuddin, Mahmood, Zamri, Mohamed, Rosmazi, Rosli

    Published 2025
    “…The intent is to formulate an algorithm capable of adapting to fluctuations in excitation frequencies and the structural modal parameters. …”
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    Conference or Workshop Item
  7. 7

    Sensitivity analysis of drill wear and optimization using Adaptive Neuro fuzzy –genetic algorithm technique toward sustainable machining by Saw, Lip Huat, Ho, Li Wen, Yew, Ming Chian, Yusof, Farazila, Pambudi, Nugroho Agung, Ng, Tan Ching, Yew, Ming Kun

    Published 2018
    “…Effects of spindle rotational speed, feed rate and diameter of drill on tool wear were determined through Adaptive Neuro Fuzzy Inference System (ANFIS). Next, genetic algorithm (GA) was used to identify the optimal drilling parameter for different diameters of drill. …”
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    Article
  8. 8

    Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique by Abulifa, Abdulhadi Abdulsalam

    Published 2022
    “…The work in this thesis is expected to be the best approach in formulating an adaptive fuzzy technique based on brute force and regression algorithms for optimization and prediction of EMS in BEV application.…”
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    Thesis
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    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

    Published 2020
    “…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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    Thesis
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    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms by Ridha, Hussein Mohammed

    Published 2020
    “…A new mutation vector inspired by the two-opposite path (2-Opt) algorithm with adaptive mutation scalar (F ) and crossover rate (CR) control parameters were employed to enhance the exploration and exploitation phases of the proposed algorithm. …”
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    Thesis
  12. 12

    A new terminal sliding mode control for bridge cranes by Tianlei Wang, Ziyang Chen, Jinzhao Xu, Kenneth Teo Tze Kin, Zhaoming Zheng, Jingling Zhang, Hongmin Wang

    Published 2021
    “…Specifically, the bridge crane model is changed first, and then a suitable non-singular terminal sliding surface is selected. The adaptive rate is introduced in the design of the controller, so that the driving force is continuous and does not require information of system parameters. …”
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    Proceedings
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    Adaptive control of nonlinear system based on QFT application to 3-DOF flight control system by Boby, Rounakul Islam, Abdullah, Khaizuran, Jusoh, Ahmad Zamani, Parveen, Nagma, Mahmud, Md

    Published 2019
    “…Though research on Adaptive and QFT controller are not a new subject, the first successful single Adaptive aircraft flight control systems have been designed for the U.S. …”
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    Article
  16. 16

    Minimization of tool path length of drilling process using particle swarm optimization (PSO) by Abdullah, Haslina, Zaman, Nizam Nurehsan, Talib, Norfazillah, Lee, Woon Kiow, Saleh, Aslinda, Zakaria, Mohamad Shukri

    Published 2020
    “…In various publications and articles, scientists and researchers adapted several methods of artificial intelligence (AI) or hybrid optimization method for tool path artificial immune system (AIS), genetic algorithms (GA), Artificial Neural networks (ANN) Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) (Narooei and Ramli, 2014). …”
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    Book Section
  17. 17

    Power generation coordination with consideration of shortfall cost using grey wolf optimizer / Nurush Syifaa Anuar by Anuar, Nurush Syifaa

    Published 2020
    “…Hence, Grey Wolf Optimization (GWO) method has been developed to maximize the profits of the hydro and thermal generators without and with considering the risk. This GWO algorithm is a simple method that use a few parameter, fast seeking speed and high search precision where it is more easily combined with the practical engineering problems. …”
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    Thesis
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    Multi agent quality of service routing based on scheme ant colony optimization algorithm by Baygi, Maassoumeh Javadi

    Published 2014
    “…The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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    Thesis
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