In this paper, an adaptive fault diagnosis technique is used in Li-ion batteries. The diagnosis
process consists of multiple nonlinear models representing signature faults, such as …

In this paper, a gradient-free optimization technique, namely particle swarm optimization (PSO)
algorithm, is utilized to identify specific parameters of the electrochemical model of a …

The synthesis of gold nanoparticles is dependent on both the concentration of trisodium
citrate dihydrate and the time that it interacts with tetrachloroauric acid. A wide range of gold …

In this paper a battery fault detection unit is developed using multiple model adaptive
estimation technique. Impedance spectroscopy data from Li-ion cell is used along with the …

The US Government and the European Union have developed policies to promote
microgeneration and smart grid initiatives. Many projects and significant developments have been …

Industrial Internet of Things (IIoT) is an architecture that facilitates the feasibility of the distributed
control of the modernized industrial systems mainly through the Internet of Things and …

Employment of a specific technology in the conversion of wind energy to electrical power
highly influences the cost and reliability of power generation. To help the selection of the best …

The main aim of this article is to provide a systematic move blocking (MB)-based robust
model predictive control (MPC) for nonlinear systems due to the model uncertainties and …

Hydraulic wind power transfer systems exhibit a highly nonlinear dynamic influenced by
system actuator hysteresis and disturbances from wind speed and load torque. This paper …

Multiple-model adaptive estimation techniques have been previously successfully applied
to fault diagnosis of microsystems. Their diagnosis performance highly depends on the …