Existing models of bulk modulus for aerated hydraulic fluids primarily focus on the effects of
pressure and air fraction, whereas the effect of temperature on bulk modulus is disregarded …

This article proposes a gradient descent (GD) algorithm-based B-spline wavelet neural
network (GDBSWNN) learning adaptive controller for linear motor (LM) systems under …

In this article, an innovative backstep** controller for hydraulic systems is proposed to
handle system uncertainties and accomplish specified performance tracking without …

Hydraulic manipulators are extremely complicated systems due to the highly nonlinear
characteristics, strong coupling among multiple joints, and heavy modeling uncertainties …

PV power generation is develo** fast in both centralized and distributed forms under the
background of constructing a new power system with high penetration of renewable …

Even though the unprecedented success of AlphaGo Zero demonstrated reinforcement
learning as a feasible complex problem solver, the research on reinforcement learning …

In this article, an adaptive output feedback prescribed performance controller is proposed for
a hydraulic system with matched and mismatched uncertainties (including parametric …

In practice, many autonomous vehicle developers put a tremendous amount of time and
efforts in tuning and calibrating the path tracking controllers in order to achieve robust …

In this article, the design and experimental evaluation of a fault-tolerant controller are
introduced for a double-rod electro-hydraulic actuator subjected to actuator faults and …

Active suspension systems are widely used in vehicles to improve ride comfort and handling
performance. However, existing control strategies may be limited by various factors …