a mobile manipulator robot is known as a complex system due to some properties such as coupling between the manipulator and mobile chassis, holonomic and nonholonomic constraints, multivariable and nonlinear dynamics. the control of robot faces the external disturbance, parametric uncertainty and unmodeled dynamics. therefore, the use of an adaptive fuzzy system is suggested for its capability ...

This letter proposes a novel adaptive sample space-based Viterbi algorithm for target localization in an online manner. The method relies on discretizing the target's motion space into cells representing finite number of hidden states. Then, most probable trajectory tracked is computed via dynamic programming Hidden Markov Model (HMM) framework. proposed uses Bayesian estimation framework which...

The adoption of cooperative intelligent transportation systems (cITSs) improves road safety and traffic efficiency. Vehicles connected to cITS form vehicular ad hoc networks (VANET) exchange messages. Like other systems, cITSs are targeted by attackers intent on compromising disrupting system integrity availability. They can repeatedly spoof false information causing bottlenecks, jams even acci...

Algebraic codes such as BCH code are receiving renewed interest their short block lengths and low/no error floors make them attractive for ultra-reliable low-latency communications (URLLC) in 5G wireless networks. This article aims at enhancing the traditional adaptive belief propagation (ABP) decoding, which is a soft-in-soft-out (SISO) decoding high-density parity-check (HDPC) algebraic codes...

 An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  Online training of neuroline...

We propose an integrative cognitive neuroscience framework for understanding the cognitive and neural foundations of religious belief. Our analysis reveals 3 psychological dimensions of religious belief (God's perceived level of involvement, God's perceived emotion, and doctrinal/experiential religious knowledge), which functional MRI localizes within networks processing Theory of Mind regardin...

The heterogeneity of expectations among traders introduces an important non-linearity into the financial markets. In a series of papers, Brock and Hommes, propose to model economic and financial markets as adaptive belief systems. Asset price fluctuations in adaptive belief systems are characterized by phases of close-to-thefundamental-price fluctuations, phases of optimism where most agents fo...

Research on IT adoption has shown that object-based beliefs about IT systems have a profound impact on subsequent IT usage. However, we still need to identify antecedents of object-based beliefs in order to understand how the belief formation process can be influenced. This research builds upon and extends Adaptive Structuration Theory to examine how IT-related factors influence the formation o...