A few of the well established methods of adaptive signal processing are modified and extended for application to adaptive control. An unknown plant will track an input command signal if the plant is preceded by a controller whose transfer function approximates the inverse of the plant transfer function. An adaptive inverse modeling process can be used to obtain a stable controller, whether the ...

The standard Support Vector Machine (SVM) minimizes the hinge loss function subject to the L2 penalty or the roughness penalty. Recently, the L1 SVM was suggested for variable selection by producing sparse solutions [BM, ZHRT]. These learning methods are non-adaptive since their penalty forms are pre-determined before looking at data, and they often perform well only in a certain type of situat...

This paper presents an adaptive control methodology for nonlinear plants that prevents the adaptive parameters from drifting due to trajectory errors arising from control saturation. The reference trajectory is modified upon saturation, so that the modified trajectory approximates the original reference closely and can be tracked within saturation limits. The adaptive parameters are updated by ...

This brief proposes a robust control algorithm for stabilization of a three-axis stabilized flexible spacecraft in the presence of parametric uncertainty, external disturbances and control input nonlinearity/dead-zone. The designed controller based on adaptive variable structure output feedback control satisfies the global reaching condition of sliding mode and ensures that the system state glo...

This paper aims to solve the control problem of coupled spacecraft tracking maneuver in case actuator faults, inertia parametric uncertainties, and external disturbances. Firstly, attitude position coupling kinematics dynamics model are established on Lie group SE(3), relative motion error is derived by exponential coordinates. Then, considering an adaptive fuzzy scheme proposed estimate lumped...

Single widespread employment of renewable energy sources (RESs) contributes to the shortage in inertia microgrid (MG). After this, frequency stability may regress as a result power imbalance or minor load fluctuations. This paper proposes an explicit adaptive modified virtual control (VIC) based on online Archimedes optimization algorithm (AOA) identifier for MG containing thermal, wind, and so...