Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems
By Hongyi Li, X. Jing, Hak-Keung Lam, Peng Shi. IEEE Transactions on Cybernetics, 2014
420 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/8e15263287d25be956fa253d3d3ab2ce4ec0303c
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In Artificial Intelligence
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Citations in the corpus
- Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones (2015, background): “Through singleton function, center average defuzzification and product inference [38-45], the fuzzy logic system can be expressed as”
- Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, methodology): “[67] is also adopted in [68]–[70], where only the sampling phenomenon was considered and the input delay approach was also utilized.”
- Robust nonfragile H∞ optimum control for active suspension systems with time-varying actuator delay (2019, background): “In this section, a two-degrees of freedom (2-DOF) quarter-car automotive active suspensionmodel is constructed (Li et al., 2014), as shown in Figure 1.”