BioX ++ - New Results and Conceptions Concerning the Intelligent Control of Biotechnological Processes

Bettenhausen, Kurt Dirk; Gehlen, Stefan; Marenbach, Peter; Tolle, Henning

doi:10.1016/s1474-6670(17)45649-7

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…1 We argue that agent technology is a suitable technique for achieving such an integration and, in addition, makes it possible to distribute the control rather than keep it centralised as has been done in some systems, eg BioX. 19 The basic motivation for using agents in monitoring and control applications is the possibility of distributing tasks both physically and logically. Although centralised solutions are generally more ef®cient (it is always possible to move everything that is computed in a distributed system to a single computer and do the computation at least as ef®ciently), distributed solutions are often easier to understand and develop.…”

Section: Agents In Monitoring and Control Applicationsmentioning

confidence: 99%

Software agents for bioprocess monitoring and control

Davidsson

Wernstedt

2002

J of Chemical Tech & Biotech

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We argue for the appropriateness of using software agents for the monitoring and control of bioprocesses. Different approaches to the design of individual agents as well as complete multi-agent systems are discussed. This is followed by a brief discussion of a number of successful agent-based monitoring and control applications from different domains. We conclude by discussing the advantages and disadvantages of agent technology for monitoring and control of bioprocesses. # 2002 Society of Chemical Industry Keywords: monitoring and control; software agents; multi-agent systems INTRODUCTIONBioprocesses are getting more and more complex and often also involve economical and environmental constraints. This has led to engineers being faced with modelling and control problems of increasing complexity when trying to build systems that operate robustly over a wide range of conditions. When confronted with such problems, there is an intuitive appeal in decomposing them into a number of simpler local' problems. Local approaches of this kind are based on the divide-and-conquer strategy in the sense that the core of the representation of the model or controller is a partitioning of the system's full range of operation into multiple smaller operating entities, each of which is associated with a locally valid model or controller. This can often give a simpli®ed and transparent non-linear model or control representation. In addition, the local approach has computational advantages, it lends itself to adaptation and allows direct incorporation of high-level and qualitative plant knowledge into the model.

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Section: Agents In Monitoring and Control Applicationsmentioning

confidence: 99%

Software agents for bioprocess monitoring and control

Davidsson

Wernstedt

2002

J of Chemical Tech & Biotech

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A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules

Angelov

Guthke

1997

Bioprocess Engineering

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A new approach to optimization of bioprocesses described by fuzzy rules is introduced in the paper. It is based on genetic algorithms (GA) and allows to determine optimal values or profiles of control variables and to optimize fuzzy rules (parameters of membership functions). The process can be described by linguistic variables and fuzzy rules. An algorithm and related software was developed. The approach was applied to an industrial antibiotic fermentation. The optimal profile of a physical variable of the preculture was determined which leads to an increasing output product concentration in the main culture of about 5%.

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