
doi: 10.1002/acs.3359
SummaryFractional sliding mode schemes possess the ability of compensating a large sort of continuous but not necessarily integer‐order differentiable disturbances; however, the adjustment of the control parameters is usually difficult and is based on a heuristic process. Motivated by the approximation capabilities of fractional sliding modes, this article proposes a parallel controller, which results as a linear combination of fractional‐order integral functions. The weight of each action of control is computed online by means of an adaptation algorithm. The stability of the closed‐loop system is demonstrated in the Lyapunov framework and a simulation study is presented to highlight the reliability of the proposed controller.
Adaptive control/observation systems, sliding mode control, Variable structure systems, fractional calculus, adaptive control, neural networks
Adaptive control/observation systems, sliding mode control, Variable structure systems, fractional calculus, adaptive control, neural networks
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