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WSEAS TRANSACTIONS on
BIOLOGY and BIOMEDICINE

Issue 9, Volume 4, September 2007
Print
ISSN: 1109-9518
E-ISSN: 2224-2902

 
 

 

 

 

 

 


Title of the Paper: An Control Method to Man-machine Systems with Brain Machine Interface

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Authors: Tohru Kawabe

Abstract: In this paper, a new control method to man machine systems with BMI (brain machine interface) is discussed. The man machine systems to support the paralyzed patients is especially targeted. Then, the following assumptions are put on the man-machine systems. In norml circumstances, the system is controlled automatically and the BMI is not worked. The BMI signals are only used for the emergency situation. It works as a trigger of the switch of control law. Since humanís brain waves resulting from cerebral activity are considered to be effective triger signal of emergency situations in the man-machine systems. Under these assumptions, the new control method is proposed. The method based on the RHC (receding horizon control) and the adaptive DA converter is considered to effective for the system to which the switch of control law is indispensable. Some numerical examples are included to demonstrate the effectiveness of the proposed method.

Keywords: Man-machine systems, EEG (Electrocorticogram), BMI (Brain machine interface), RHC (Receding horizon control), DA converter


Title of the Paper: Software Tool for Efficient Hybrid Model-Based Design of Biochemical Processes

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Authors: Vytautas Galvanauskas, Rimvydas Simutis

Abstract: An approach for hybrid model identification based on sensitivity equations approach is tested on a hybrid model for biosurfactant production process. The computer simulations were performed using software tools for model-based design of biochemical processes elaborated in Matlab (The MathWorks, Inc.) environment. Possible difficulties and ways of practical implementation of the discussed approach for the identification of complex hybrid models for biochemical processes are outlined. The hybrid model identification results are presented.

Keywords: Model based design, hybrid models, biochemical processes, software tools


   
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