Modular design automation of the morphologies, controllers, and vision systems for intelligent robots: a survey

Visual Intelligence, Journal Year: 2023, Volume and Issue: 1(1)

Published: May 8, 2023

Abstract Design automation is a core technology in industrial design software and an important branch of knowledge-worker automation. For example, electronic (EDA) has played role both academia industry. for intelligent robots refers to the construction unified modular graph models morphologies (body), controllers (brain), vision systems (eye) under digital twin architectures, which effectively supports morphology, controller, system processes by taking advantage powerful capabilities genetic programming, evolutionary computation, deep learning, reinforcement causal reasoning model representation, optimization, perception, decision making, reasoning. Compared with traditional methods, MOdular DEsigN Automation (MODENA) methods can significantly improve efficiency performance robots, avoiding repetitive trial-and-error promoting automatic discovery innovative designs. Thus, it considerable research significance study MODENA robots. To this end, paper provides systematic comprehensive overview applying analyzes current problems challenges field, outlook future research. First, robot reviewed, individually, automated control strategies swarm also discussed, emerged as prominent focus recently. Next, integrated robotic presented. Then, summarized when have become one most modules systems. trends “Body-Brain-Eye” are discussed. Finally, common key technologies, opportunities summarized.

Language: Английский

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An $$H_\infty $$ Robust Decentralized PID Controller Design for Multi-Variable Chemical Processes Using Loop Shaping Technique

Arabian Journal for Science and Engineering, Journal Year: 2023, Volume and Issue: 49(5), P. 6587 - 6611

Published: Oct. 19, 2023

Language: Английский

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Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review

Annual Reviews in Control, Journal Year: 2024, Volume and Issue: 58, P. 100973 - 100973

Published: Jan. 1, 2024

Language: Английский

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Optimum multi-drug regime for compartment model of tumour: cell-cycle-specific dynamics in the presence of resistance

Journal of Pharmacokinetics and Pharmacodynamics, Journal Year: 2021, Volume and Issue: 48(4), P. 543 - 562

Published: March 22, 2021

Language: Английский

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Spectral Richness PSO algorithm for parameter identification of dynamical systems under non-ideal excitation conditions

Applied Soft Computing, Journal Year: 2022, Volume and Issue: 128, P. 109490 - 109490

Published: Aug. 12, 2022

Language: Английский

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Optimizing the initial weights of a PID neural network controller for voltage stabilization of microgrids using a PEO-GA algorithm

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 147, P. 110771 - 110771

Published: Aug. 23, 2023

Language: Английский

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Design of autonomous driving controls for multi-trailer articulated heavy vehicles

Journal of Vibration and Control, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

This article proposes a method for devising autonomous driving controls multi-trailer articulated heavy vehicles (MTAHVs). design is formulated as an optimization problem improving ride quality and path-following performance. To implement the multi-objective design, nonlinear model predictive control (NLMPC) technique used to devise tracking-controller MTAHV. For NLMPC controller generated prediction model, respective TruckSim developed virtual plant. The weighting matrices of are chosen variables, metaheuristic search algorithm optimize these variables. By offline tuning automatically, lateral-displacement error tractor decreases by 53%. Simulations demonstrate reliability proposed approach robustness tracking-controller.

Language: Английский

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Innovative Control Framework for Nonlinear Vibrations of a Balancer System Through Hybrid FPID Controller

Journal of Vibration Engineering & Technologies, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 1, 2025

Language: Английский

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Overcoming Weak Grid Challenges: A Combined Approach to VSI Stability with Impedance Adjustment, Control Optimization, and Microgrid Integration

EAI Endorsed Transactions on Energy Web, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 6, 2025

This paper addresses the challenges in Voltage Source Inverter (VSI) systems connected to weak grids, where frequent impedance changes lead instability and power quality issues. research studies how changing grid affects current distortion stability of a VSI. It proposes analysis single loop controller optimize its settings using various techniques (ZN-method, PSO, GA) ensure VSI meet limits (THD compliance), when varies. The primary focus revolves around addressing two key challenges: managing variations at PCC enhancing tracking performance PI controller. VSI-based system standalone mode is simulated on Typhoon HIL, validate effectiveness obtained optimized parameters by conditions like, output regulation sudden load change distribution network. MATLAB/SIMULINK with m-files utilized for optimization model simulation purposes. important developing more reliable resilient systems, specifically investigating transient behaviour frequency voltage under changes, an uninterruptible supply critical loads.

Language: Английский

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Efficient Online Controller Tuning for Omnidirectional Mobile Robots Using a Multivariate-Multitarget Polynomial Prediction Model and Evolutionary Optimization

Biomimetics, Journal Year: 2025, Volume and Issue: 10(2), P. 114 - 114

Published: Feb. 14, 2025

The growing reliance on mobile robots has resulted in applications where users have limited or no control over operating conditions. These require advanced controllers to ensure the system's performance by dynamically changing its parameters. Nowadays, online bioinspired controller tuning approaches are among most successful and innovative tools for dealing with uncertainties disturbances. Nevertheless, these present a main limitation real-world due extensive computational resources required their exhaustive search when evaluating of complex dynamics. This paper develops an approach leveraging surrogate modeling strategy omnidirectional robot controller. polynomial response surface method is incorporated as identification stage model system predict behavior indirect adaptive approach. comparative analysis concerns state-of-the-art approaches, such online, offline robust, non-robust based optimization. results show that proposal reduces load up 62.85% while maintaining regarding under adverse also increases 93% compared approaches. Then, retains competitiveness systems conditions, other drop it. Furthermore, posterior comparison against another Gaussian process regression corroborates best reducing competitor's 91.37% increasing 63%. Hence, proposed decreases execution time be applied evolution without deteriorating closed-loop performance. To authors' knowledge, this first been tested robot.

Language: Английский

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