M. Foad Samadi

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This paper presents a new distributed monitoring approach for nonlinear, non-Gaussian hybrid systems incorporating multiple sensors in an embedded network configuration. The estimation engine of the proposed approach is particle filter (PF) which estimates locally the mode and continuous state of hybrid system at each sensor location or node. Decision on(More)
Traditional centralized state estimation algorithms pose stringent scaling restrictions for modern distributed hybrid plants due to their enormous communication overhead requirements. This paper presents a novel distributed estimation approach for hybrid systems composed of a proposed distributed particle filter based on a learning vector quantization(More)
Fault diagnostic monitoring in nonlinear hybrid processes requires dedicated techniques being capable of dealing with both nonlinearity and hybrid dynamic characteristics. This paper introduces a modified particle filtering estimation-based methodology for online diagnostic purposes by individual tracking of the most likely faulty modes and the process(More)
This paper presents a new method of designing a robust PID power system stabilizer. This methodology provides an exact way to tune PID parameters and find an optimal controller using non-iterative Linear Matrix Inequality (LMI) approach. The uncertainties inherent in the system model is also taken into account in the design process to increase the(More)
The problem of fault effects in power converters has been an important issue in past years and fault detection is a mandatory step in fault-tolerant system design. This paper proposes a digital current control and a fault detection method for current sensors and their hardware implementations for a three phase four-leg inverter. The controller utilizes a(More)