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An adaptive fuzzy controller for controlling a multi-input-multi-output uncertain nonlinear system is proposed in this paper. The controller design is observer based since not all the system states are measurable. The fuzzy adaptive controller with modulated membership function (FAC_MMF) modulates the fuzzy sets on both the consequent and antecedent parts by adjusting a few parameters. As searching...
In this paper, a decentralized sliding-mode control approach is applied to the control tasks of vehicles in platoons. Using the well-known bicycle model, a robust nonlinear observer is introduced to facilitate the controller design, which needs full-state measurements. The vehicles in platoons can be treated as an interconnected system with a special form. Observer gain and controller gain are properly...
In this paper, sliding mode control (SMC) approach is proposed for the tracking control tasks of a class of nonlinear uncertain systems with state time delays. The time delay is constant and bounded. The SMC can handle matched Linfin type system uncertainties with known bounding functions. To deal with unmatched L2 type disturbances without any information on the bound, L2 gain is a proper performance...
In this paper, a sampled-data iterative learning control (ILC) approach is proposed for a class of nonlinear networked control systems. The motivation of this approach is to deal with control problems when the environment is periodic or repeatable over iterations in a fixed finite interval. In the networked control systems (NCS), because of the existence of time delays and packet losses in input and...
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