Abstract—Biaxial motion stages are commonly used in precision motion applications. However, the contour following accuracy of a biaxial motion stage often suffers from system nonlinearities and external disturbances. To deal with the above-mentioned problem, a control scheme consisting of a reinforcement Q-learning controller with a self-tuning learning rate and two iterative learning controlle...

Chaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamic...

Asynchronous Fine-grain power gated Logic (AFL) which includes Modified Efficient Charge Recovery Logic (M-ECRL) gates to implement the logic function of the stage with a handshake controller which comprises of C-element to handle the control signals with the neighboring stages and provides power to MECRL gate. AFL adopts an partial charge reuse (PCR) mechanism, part of the charge on the output...

In this paper, a three-level integrated ac–dc converter with power factor correction is presented. The proposed converter integrates the operation of the boost power factor correction and the three-level dc–dc converter. The converter is made to operate with two independent controllers—an input controller that performs power factor correction and regulates the dc bus and an output controller th...

Voltage fed single stage converters suffer from two main drawbacks: The efficiency is affected due to the reduced values of maximum DC link capacitor voltage and the power factor is not close to unity. To overcome these drawbacks, a boost type input current shaping converter, integrated with diode clamped topology is used. S ince this converter is a multilevel converter, it can be operated with...

Economic Model Predictive Control differs from conventional tracking model predictive control by directly addressing a plants economic cost as the stage cost, consequently leading to better economic performance. This paper extends current economic model predictive control theory to linear timeinvariant systems with periodic disturbances and cost functions, under mild assumptions. To ensure an i...

|A system is presented that autonomously learns to control a priori unknown nonlinear dynamical systems and enables the user to interpret, examine and correct the control strategy in every stage of learning. Based on ve requirements that are essential to us for a widely applicable learning controller the hybrid control architecture Fynesse is derived: The control strategy is represented by a fu...

one of the most important challenges in nonlinear, multi-input multi-output (mimo) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. this paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. the sliding mode fuzzy controller (smfc) was designed as 7 rules mamdani’s infer...

abstract: this paper presents dynamic modelling and control of a linear prismatic series of elastic actuator. the capability of generating large torques is why this actuator is increasingly used in human-assistive robotic systems. due to having human in the loop, the actuator requires precise control. a fractional pid controller known for its improved performance is used for the control, due to...

surge is one of the two destructive factors in compressors. surge is the stream instability phenomenon in compressor that imposes severe damages to the compressors. nowadays, suppressingsurge phenomenon is one of the most important issues in oil and gas industries, especially when flow reduction or gas reflux is considered. according to moore-greitzer compressor model, this paper designs an act...