Model Predictive Control with Sequential Linearization Approach for a Nonlinear Time Varying Biological System
As life science progress and its consequences provide human life necessities,controlling these kinds of processes has recently become very important.Unfortunately because of including delay and nonlinear behavior of micro-organisms these processes have nonlinear time varying model and so controlling them is too complicated.These nonlinear dynamics are too slow and so it is possible to linearize the model step by step and apply control signal to the local linearized models.In this paper we design a model predictive controller for each linearized model at time unit and as a result a nonlinear time varying system has been controlled properly.As these localized models are open loop unstable,we have to use close loop paradigm also due to its numerically robustness.Finally result has validated with experimental values and reliability of this approach has been exposed.
MPC Sequential Linearization Biological System Control Aerated Flask
Mojtaba Zaare Mehrjerdi Behzad Moshiri Ghassem Amoabediny Arman Ashktorab Babak Nadjar Araabi
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineeri Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineeri Department of Life Science Engineering, Faculty of New Technologies, University of Tehran, Tehran, I
国际会议
the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)
贵阳
英文
4465-4470
2013-05-01（万方平台首次上网日期，不代表论文的发表时间）