In this paper, the modeling and the control of a variable stiffness joint actuated by a couple of twisted string actuators in antagonistic configuration is reported. The twisted string actuation system is particularly suitable for very compact and light-weight robotic devices, like artificial hands and arms, and renders a very low apparent inertia at the load side, allowing the implementation o...

this study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. it also seeks to explore whether the existence of open innovation has a mediating effect and influence. this study constructs a theoretical model to explore the relationship between latent variables and uses a questionnaire to colle...

[Abstract] Inertia relief analysis is regarded as an effective technique for the modeling of unconstrained structural systems. In this paper the principle of inertia relief analysis is first described. Inertia relief capability of commercial finite element packages is discussed. The paper studies the implementation of inertia relief techniques into finite element analysis of a variety of struct...

This paper talks about the problems in particle swarm optimization (PSO), including local optimum and difficulty in improving solution accuracy by fine tuning. We presents a new variation of Adaptive Tribe-PSO model where nonlinear updating of inertia weight and a particle’s fitness with TribePSO model are combined to improve the speed of convergence as well as fine tune the search in the multi...

Node localization is the basis of a variety of applications as an important technology in wireless sensor networks. This paper studies the existing localization algorithms, and puts forward a sensor node localization algorithm based on particle swarm algorithm, this algorithm uses the fitness value of the particle to adjust the inertia weight value, in order to achieve , and fast and accurate p...

In this paper a novel Optimal Type-2 Fuzzy Proportional-Integral-Derivative Controller (OT2FPIDC) is designed for controlling the air supply pressure of Heating, Ventilation and Air-Conditioning (HVAC) system. The parameters of input and output membership functions, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simul...

The performance of particle swarm optimization using an inertia weight is compared with performance using a constriction factor. Five benchmark functions are used for the comparison. It is concluded that the best approach is to use the constriction factor while limiting the maximum velocity Vmax to the dynamic range of the variable Xmax on each dimension. This approach provides performance on t...

Non-prismatic beams have received great attention from engineers due to their capability in optimizing the strength and weight of the structure. In recent years, many researchers have worked on engineering problems related to static and dynamic analysis of either Euler–Bernoulli [1–3] or Timoshenko [4,5] beams. For short thick beams and rotating machineries, the Timoshenko beam theory presents ...

This paper presents a binary PSO based solution technique for power system unit commitment. The intelligent generation of initial population and the repairing mechanism ensure feasible solution that satisfies the spinning reserve and unit minimum up/down constraints. The algorithm adoptively adjusts the inertia weight and the acceleration coefficients in order to enhance the search process and ...