In this paper, based on the Takagi-Sugeno fuzzy model approach, a novel output feedback
control strategy is developed for a class of continuous-time nonlinear time delay systems via …

Transferring multiple cell types with high precision and efficiency has become increasingly
important for develo** cell-based assays. In this study, an enabling technology is …

In this paper, the proposed sliding mode minimum-energy control (SMMEC) consists of
sliding mode control (SMC) and minimum-energy control (MEC), and is proposed for a …

This paper presents an intelligent control of a ship's roll motion dam** system consisting
of a pair of active fins driven by a hydraulic system. The suggested intelligent controller …

In this paper, system identification by the self-learning particle swarm optimization (SLPSO)
with a new energetics fitness functions (FFs) is proposed to identify a mechatronic motor …

The medical micro-robotic applications are becoming more eminent by ever-flourishing
possibilities presented by the robotics and biomedical communities in the past decade …

Cogging torque assisted motor drives (CTAMD) are a novel electromechanical valve
actuation (EVA) technology for internal combustion engines that have a compact size and do …

In this paper, Lagrangian method is proposed to formulate dynamic model for a mechatronic
elevator system, which includes mechanical and electrical parts. Lagrange equations, ie the …

In this paper, we propose the minimum energy control input based on Hamiltonian strategy
for the motor-table system. The energy equation of the motor-table system contains of the …

The different state-error fitness functions (FFs) are proposed and compared numerically and
experimentally to identify a motor-table system by using self-learning particle swarm …