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In this paper, observer and command-filter-based adaptive fuzzy output feedback control is proposed for a class of strict-feedback systems with parametric uncertainties and unmeasured states. First, fuzzy logic systems are used to approximate the unknown and nonlinear functions. Next, a fuzzy state observer is developed to estimate the immeasurable states.(More)
Applying energy-shaping control principle and the state error port-controlled Hamiltonian (PCH) system, output voltage tracking control and unity power factor regulation of three-phase Pulse Width Modulation (PWM) rectifiers are presented in this paper. A desired state error PCH system structure is assigned to closed-loop control system for the three-phase(More)
Considering the requirement of high accuracy and nonlinear problems in drive systems, a novel adaptive position tracking control approach based on neural networks is presented for permanent magnet synchronous motors with full-state constraints. The neural networks technique is employed to approximate the unknown nonlinear functions. Then, the barrier(More)
This paper considers the problem of discrete-time adaptive position tracking control for a interior permanent magnet synchronous motor (IPMSM) based on fuzzy-approximation. Fuzzy logic systems are used to approximate the nonlinearities of the discrete-time IPMSM drive system which is derived by direct discretization using Euler method, and a discrete-time(More)
μO-conotoxin MrVIB is a 31-amino acid peptide containing three disulfide bonds isolated from the venom of Conus marmoreus, which is a selective antagonist of voltage-gated sodium channel (VGSC) Nav1.8 and has a long-lasting analgesic activity. Drug development of MrVIB has long been hindered over 15 years by difficult chemical synthesis and oxidative(More)
α-Conotoxin LvIA is derived from Conus lividus, native to Hainan, and is the most selective inhibitor of α3β2 nicotinic acetylcholine receptors (nAChRs) known to date. In this study, an efficient approach for the production of recombinant α-Conotoxin LvIA is described. Tandem repeats of a LvIA gene fragment were constructed and fused with a KSI gene and a(More)
An adaptive fuzzy control method is developed to control chaos in the permanent magnet synchronous motor drive system via backstepping. Fuzzy logic systems are used to approximate unknown nonlinearities, and an adaptive backstepping technique is employed to construct controllers. The proposed controller can suppress the chaos of PMSM and track the reference(More)
A novel L2 gain disturbance attenuation control algorithm is presented for permanent magnet synchronous motor (PMSM) based on port-controlled Hamiltonian (PCH) systems theory. First of all, a PCH system model of PMSM is established. Then, using the interconnection and damping assignment method, the PCH controller of the PMSM system is designed when the load(More)
The model and PWM controller of Buck-Boost converter are presented based on a novel energy-shaping theory. Firstly, a port-controlled Hamiltonian (PCH) model of Buck-Boost converter and its suitable state space averaging (SSA) model are established. Secondly, using the energy-shaping theory of interconnection and damping assignment passivity-based control(More)
To improve the performance of permanent magnet synchronous motor (PMSM) speed sensorless drives, the radial basis function (RBF) neural network control and backstepping control are proposed to design the controllers, and the model reference adaptive system (MRAS) observer is also constructed in this paper. The precise position control of PMSM drive system(More)