{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T22:13:47Z","timestamp":1648764827377},"reference-count":20,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Inf. Acquisition"],"published-print":{"date-parts":[[2013,3]]},"abstract":"<jats:p> Recently, applying control theory to regulate the intracellular mRNA level was introduced as a new direction for gene regulation. However, the high nonlinearity in the gene regulatory networks imposes significant challenges in control design. As a well understood benchmark example, the GAL regulatory network in S. cerevisiae was recently proposed as a test-bed system for validating theoretical control algorithms in cellular systems. A simple proportional feedback control approach was previously proposed for regulating the intracellular mRNA level in the GAL network, however, there were still limitations with its use to control the nonlinear GAL network. To improve the performance and effectiveness, this paper proposes an advanced nonlinear control strategy. The reduced mathematical model for the GAL network is reorganized into a nonlinear affine system. Then, a partial feedback linearization control approach was employed to regulate the concentration of a protein at a desired level. For validating the control approach in experimental studies, we choose Gal1p as a measurable output, instead of GAL1 mRNA used in the previous study. Simulation results demonstrate that this control approach can shorten the convergence time between states comparing with the proportional feedback control. <\/jats:p>","DOI":"10.1142\/s0219878913500022","type":"journal-article","created":{"date-parts":[[2013,3,28]],"date-time":"2013-03-28T03:19:44Z","timestamp":1364440784000},"page":"1350002","source":"Crossref","is-referenced-by-count":0,"title":["NONLINEAR CONTROL FOR <i>GAL<\/i> REGULATORY NETWORK IN <i>S. CEREVISIAE<\/i>"],"prefix":"10.1142","volume":"09","author":[{"given":"JINLIANG","family":"YANG","sequence":"first","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China"}]},{"given":"RUI","family":"GAO","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China"}]},{"given":"MAX Q.-H.","family":"MENG","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China"},{"name":"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, P. R. 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