This paper presents a new systematic adaptive fuzzy neural network for inverse modelling of robot manipulators. An inductive learning algorithm is applied to generate the required inverse modelling rules from the robot’s input/output records. A full differentiable fuzzy neural network is developed to construct the inverse models of the robot manipulator, while any adaptation technique, such as ...

Collaborative modelling enables dispersed users to develop component-based system models in group settings. A realization of such an approach requires coordinating and maintaining the causality of the users’ activities. We propose the Collaborative DEVS Modelling (CDM) approach and its realization based on the Computer Supported Collaborative Work (CSCW) and the Discrete Event System Specificat...

OBJECTIVES We aimed to describe the online search trends of Zika and examine their association with Zika incidence, assess the content of Zika-related press releases issued by leading health authorities and examine the association between online trends and press release timing. DESIGN Using Google Trends, the 1 May 2015 to 30 May 2016 online trends of Zika and associated search terms were stu...

This paper addresses a novel idea of real-time traffic safety improvement on freeways. First by predicting traffic crashes on the freeway mainline using on-line loop detector data, then by proposing ITS remediation strategies to reduce the crash risk in real-time. The results of the predictive models were found to be consistent with the probable mechanisms of crashes under different flow regime...

This paper deals with the modelling and control of semi-batch reactor used for chromium sludge regeneration process. A comparison of three process control approaches is presented. Usual PID controller without online identification (OI) and adaptive PID controller were adapted to semi-batch rector process in our previous studies. In this study the two-degrees-of-freedom (2DOF) controller is deve...