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Anni Zhao, Arash Toudeshki, Reza Ehsani, Joshua H. Viers and Jian-Qiao Sun
The Delta robot is an over-actuated parallel robot with highly nonlinear kinematics and dynamics. Designing the control for a Delta robot to carry out various operations is a challenging task. Various advanced control algorithms, such as adaptive control...
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Yanwei Zhang, Hao Zheng, Jing Xu and Zhonglai Wang
Clapping-wing micro air vehicles (CWMAVs) face many control problems due to their lightweight design and susceptibility to disturbances. This study proposes a radial basis function (RBF) model-based adaptive model predictive control (AMPC) for trajectory...
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Chengxi Wu, Yuewei Dai, Liang Shan and Zhiyu Zhu
This paper focuses on developing a data-driven trajectory tracking control approach for autonomous underwater vehicles (AUV) under uncertain external disturbance and time-delay. A novel model-free adaptive predictive control (MFAPC) approach based on a f...
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Tayyab Manzoor, Hailong Pei, Zhongqi Sun and Zihuan Cheng
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit the capabilities of the predictive control design with an accurate dynamic model b...
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Fatemeh Jafari, S. Jamshid Mousavi and Kumaraswamy Ponnambalam
The model predictive control (MPC) approach can be implemented in either a reactive (RE-) or predictive (PR-) manner to control the operation of urban drainage systems (UDSs). Previous research focused mostly on the RE-MPC, as the PR-MPC, despite its pot...
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Baocheng Zhou, Xin Su, Hongjun Yu, Wentian Guo and Qing Zhang
With the development of agricultural mechanization and information technology, automatic navigation tractors are becoming a more common piece of farm equipment. The accuracy of automatic navigation tractor path tracking has become critical for maximizing...
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Youssef Karout, Axel Curcio, Julien Eynard, Stéphane Thil, Sylvain Rodat, Stéphane Abanades, Valéry Vuillerme and Stéphane Grieu
The present paper deals with both the modeling and the dynamic control of a solar hybrid thermochemical reactor designed to produce syngas through the high-temperature steam gasification of biomass. First, a model of the reactor based on the thermodynami...
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Madhur Tiwari, Eric Coyle and Richard J. Prazenica
In this work, we propose a novel controller based on a simple adaptive controller methodology and model predictive control (MPC) to generate and track trajectories of a spacecraft in the vicinity of asteroids. The control formulation is based on using ad...
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Ali Barzegar and Deok-Jin Lee
This research study presents a new adaptive attitude and altitude controller for an aerial robot. The proposed controlling approach employs a reinforcement learning-based algorithm to actively estimate the controller parameters of the aerial robot. In de...
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Md Abdus Samad Kamal, Kotaro Hashikura, Tomohisa Hayakawa, Kou Yamada and Jun-ichi Imura
This paper presents Adaptive Cruise Control (ACC) with look-ahead anticipation, based on the model of ACC used in recent commercial vehicles, to take early decisions in driving a vehicle on the freeway. The existing ACC found in the high-end cars has lim...
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