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The regulation of the concentration of biochemical oxygen demand ([Formula: see text]) and ammonium-ion ([Formula: see text]) is the control objective. The plant dynamics are obtained using physical laws available in the literature. The parametric uncertainty is quantified from the measurement data obtained from a real ASTP of an oil refinery. The model is duly cross-validated. A novel technique is proposed to design a pre-compensator that will enhance the diagonal dominance of the plant transfer function matrix. A diagonal controller and a pre-filter, are then designed using a sequential multi-input multi-output (MIMO) QFT-based methodology to meet a set of performance specifications such as relative stability, disturbance rejection, robust tracking and so forth. The simulation results validate the effectiveness of the proposed control scheme. A comparative analysis with reported works shows that the proposed control scheme outperforms some of the reported control strategies.<\/jats:p>","DOI":"10.1177\/01423312211039048","type":"journal-article","created":{"date-parts":[[2021,8,28]],"date-time":"2021-08-28T14:30:50Z","timestamp":1630161050000},"page":"506-522","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Control of activated sludge treatment process using pre-compensated multi-variable quantitative feedback theory-based controller"],"prefix":"10.1177","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3283-9607","authenticated-orcid":false,"given":"Sandipan Prasad","family":"Chakravarty","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, NIT Silchar, India"}],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Aniket","family":"Roy","sequence":"additional","affiliation":[{"name":"Department 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