An Control Method to Man-machine Systems with Brain Machine Interface

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. Key–Words: Man-machine systems, EEG (Electrocorticogram), BMI (Brain machine interface), RHC (Receding horizon control), DA converter