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In the SMNN control system, a neural network controller is developed to mimic an equivalent control law in the sliding-mode control, and a robust controller is designed to curb the system dynamics on the sliding surface for guaranteeing the asymptotic stability property.
In the SMNNS control system, a neural-network controller is developed to mimic an equivalent control law in the sliding-mode control, and a robust controller and also a scalar controller are designed to curb the system dynamics on the sliding surface for guaranteeing the asymptotic stability property and achieving high-accuracy position control.
Accordingly, the control effect is introduced via an equivalent control moment on the circumference.
Three evaluation tools were implemented between modules of the same course and an equivalent control group.
Regarding the SMC, an equivalent control algorithm is chosen based on the selection of Lyapunov stability criterion during backstepping approach.
The sliding mode dynamics are derived using an equivalent control approach, and the Lyapunov Razumikhin approach is exploited to analyse the stability of the sliding motion.
Similar(40)
Some of the differences in results may be explained by a number of factors: 1. Revel et al's study was a placebo controlled design whereas we did not routinely utilize a similar or equivalent control.
Using the concept of sliding mode equivalent control techniques, a robust decentralized adaptive controller which insures the exponential convergence of the outputs to the desired ones, is obtained.
The results show that the hybrid storage system which applied fuzzy logic control has more flat battery charging/discharging current than an equivalent filtration control method.
To construct the equivalent control law, an adaptive fuzzy inference engine is used to approximate the unknown parts of the system.
Hence, in order to estimate the optimal equivalent control error, a cost function is derived on the basis of the principle of minimum sliding mode error.
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