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 human’s 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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