Evolving models have found applications in many real world systems. In this paper, potentials of the Evolving Linear Models (ELMs) in tracking control design for nonlinear variable structure systems are introduced. At first, an ELM is introduced as a dynamic single input, single output (SISO) linear model whose parameters as well as dynamic orders of input and output signals can change through ...

In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...

This letter presents a resilient mechanism to allocate heterogeneous robots tasks under difficult environmental conditions such as weather events or adversarial attacks. Our primary objective is ensure that each task assigned the requisite level of resources, measured aggregated capabilities allocated task. By keeping track performance deviations external perturbations, our framework quantifies...

In order for a robot to perform task, several algorithms need be executed, sometimes, simultaneously. Algorithms can run either on the itself or, upon request, performed cloud infrastructure. The term infrastructure is used describe hardware, storage, abstracted resources, and network resources related computing. Depending decisions where execute algorithms, overall execution time necessary mem...

Abstract Purpose of Review To effectively synthesise and analyse multi-robot behaviour, we require formal task-level models which accurately capture execution. In this paper, review modelling formalisms for systems under uncertainty discuss how they can be used planning, reinforcement learning, model checking, simulation. Recent Findings work has investigated more execution by considering diffe...