Search Results - (( intelligence based force algorithm ) OR ( intelligence v control algorithm ))
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Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach
Published 2024“…The PID controllers were tuned automatically by the PSO algorithm based on the same identified models. …”
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The Control of an Upper-Limb Exoskeleton by Means of a Particle Swarm Optimised Active Force Control for Motor Recovery
Published 2017“…A proportionalderivative (PD) architecture is employed to investigate its efficacy in performing joint-space control objectives namely the flexion/extension of the elbow joint as well as the forward adduction/abduction on the shoulder joint. An intelligent active force control (AFC) optimised by means of the Particle Swarm Optimisation (PSO) algorithm is also incorporated into the aforementioned controller to examine its effectiveness in compensating disturbances. …”
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Review on real-time control schemes for wheeled mobile robot
Published 2018“…Four main categories for wheeled mobile robot control that have been found in literature which are namely: Kinematic based controller, Dynamic based controllers, artificial intelligence based control system, and Active Force control. …”
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An overview on real-time control schemes for wheeled mobile robot
Published 2018“…Four main categories for wheeled mobile robot control systems have been found in literature which are namely: Kinematic based controller, Dynamic based controllers, artificial intelligence based control system, and Active Force control. …”
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Adaptive control of nonlinear system based on QFT application to 3-DOF flight control system
Published 2019“…Finally, we successfully designed the hybrid controller that is QFT based adaptive controller for all the three angles.…”
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Multistage quality control in manufacturing process using blockchain with machine learning technique
Published 2023“…The demand for predictive machine reliability and quality drives the development of intelligent manufacturing technologies. To this goal, a variety of machine learning algorithms are being studied. …”
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Triple nonlinear hyperbolic PID with static friction compensation for precise positioning of a servo pneumatic actuator
Published 2023“…The final controller is also on par with T-NPID for transient responses compared to the base PID. Although the FSS model caters to friction compensation, optimizing the FSS parameter by applying artificial intelligence, such as Neural Networks (NN) and Genetic Algorithm (GA), will increase the friction modeling‘s accuracy, and improve the compensation…”
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An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery
Published 2016“…This paper presents the modelling and control of a two degree of freedom upper extremity exoskeleton by means of an intelligent active force control (AFC) mechanism. The Newton-Euler formulation was used in deriving the dynamic modelling of both the anthropometry based human upper extremity as well as the exoskeleton that consists of the upper arm and the forearm. …”
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A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…ILC algorithm is implemented into AFC-based control scheme to reduce its complexity and hence faster response, by replacing the use of artificial intelligence (Al) method as proposed by previous researcher. …”
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Intelligent material handling mobile robot for industrial purpose with active force control capability
Published 2005“…An integrated kinematic and dynamic control with embedded intelligent algorithms were the main approaches employed for the robust motion control of a mobile manipulator (MM) comprising a differentially driven wheeled mobile base platform with a two-link planar arm mounted on top of the platform. …”
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Coordination of PSS and PID controller for power system stability enhancement - overview
Published 2023“…Research showed the design of controllers based on conventional methods; soft computing and population based algorithms suffer from limitations. …”
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