Tuning the seismic control systems in order to achieve optimal performance is a challenging
area due to the system and disturbance uncertainties. Although, model uncertainties …

This study proposes a neural network based vibration control system designed to attenuate
structural vibrations induced by an earthquake. Classical feedback control algorithms are …

Cerebellum model articulation controller (CMAC) is known as a feedforward neural network
(NN) with fast learning and performance. Many improvements have been introduced to it …

A neurocontrol method is applied to the nonlinear benchmark control problem. A
neurocontroller is trained based on a reduced-order linear design model, then it is used to …

A new neuro-control scheme for active control of structures having a basic structure similar
to the Probabilistic Neural Network (PNN) is proposed. It utilizes the lattice pattern of state …

This paper addresses a quantification technique of cooperative characteristics on Concern
For Others: CFO in a cooperative work by multiple operators. The cooperative works are …

This paper addresses a calibration technique for machine operation systems enhancing the
operability. Humans have an ability to learn the machine operation unconsciously …

This paper addresses a skill assist technique without awareness. Generally, human assist
system is by adding autonomous input to the operation command as force from obstacles …

This paper describes a fuzzy cerebellar model articulation algorithm controller for ship
steering system that has the characteristics of rapid changing of load, long working hours …

This paper addresses a quantification technique of cooperative characteristics focusing on
Concern For Others: CFO in a cooperative work by multiple participants. The CFO is utilized …