Fractional-OrderPIControl of First Order Plants with Guaranteed Time Specifications

Abstract

Cardiospheres (CSs) are self-assembling multicellular clusters from the cellular outgrowth from cardiac explants cultured in nonadhesive substrates. They contain a core of primitive, proliferating cells, and an outer layer of mesenchymal/stromal cells and differentiating cells that express cardiomyocyte proteins and connexin 43. Because CSs contain both primitive cells and committed progenitors for the three major cell types present in the heart, that is, cardiomyocytes, endothelial cells, and smooth muscle cells, and because they are derived from percutaneous endomyocardial biopsies, they represent an attractive cell source for cardiac regeneration. In preclinical studies, CS-derived cells (CDCs) delivered to infarcted hearts resulted in improved cardiac function. CDCs have been tested safely in an initial phase-1 clinical trial in patients after myocardial infarction. Whether or not CDCs are superior to purified populations, for example, c-kit+ cardiac stem cells, or to gene therapy approaches for cardiac regeneration remains to be evaluated.

Optimal design of wideband fractional order digital integrator using symbiotic organisms search algorithm

“…The efficacy of the proposed FODI as a discrete‐time fractional order proportional–integral(PI α ) controller is demonstrated byconsidering the control of the plant whose transfer function G ( s ) is modelled by [44] The s ‐domain transfer function of thePI α controller is given by [44] G ( s ) is discretised using the Al‐Alaouioperator with a sampling time of 0.001 s, whereas, G P ( s ) is discretised byusing the discrete‐time transfer function model for the half‐orderintegrator proposed in (20). It may be noted that (i) no actuator saturation and (ii) unity negativefeedback control system are assumed for this application.…”

“…The efficacy of the proposed FODI as a discrete-time fractional order proportional-integral (PI α ) controller is demonstrated by considering the control of the plant whose transfer function G(s) is modelled by [44] G(s) = 2.65 4.21s + 1 .…”

“…The s-domain transfer function of the PI α controller is given by [44] G P (s) = 1.3545s 0.5 + 9.7104 s 0.5 .…”

Evaluating Fractional PID Control in a Nonlinear MIMO Model of a Hydroelectric Power Station

“…As can be seen, the parameters K p , K i , and K d can be adjusted depending on an external algorithm. Various algorithms have been published to tune up FOPID [32][33][34][35]. For this work a compromise between fast response and short overshoot was pursued, according to an Integral of Time Absolut Error (ITAE) index which was used to adjust the control parameters.…”