Tracking control of a two-wheeled mobile robot using input–output linearization
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A simplified trajectory tracking control based on linear design for Skid-Steered wheeled UGVs
2024, Journal of the Franklin InstituteDistributed leader-following formation control for multiple nonholonomic mobile robots via bioinspired neurodynamic approach
2022, NeurocomputingCitation Excerpt :As an illustration, Miao et al. [38] have designed the distributed estimators for NMR to estimate the leader states. On the other hand, the formation tracking control problems for multiple NMRs have been extensively studied in the literature, for example, see [39–42]. Existing formation tracking control strategies can be classified into the following types: neural networks and fuzzy systems [39,43], sliding mode control (SMC) [40], linearization [41] and backstepping [42,44].
Formation Control and Tracking of Mobile Robots using Distributed Estimators and A Biologically Inspired Approach
2023, Journal of Electrical Engineering and TechnologyOvercoming Uncertainties and Disturbances: An Adaptive Control Approach for Mobile Robots
2021, IEEE International Conference on Automation Science and Engineering
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