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Differential evolution is a high-performance optimizer that is very easy to understand and implement. It is similar in some ways to genetic algorithms or evolutionary algorithms, but requires less computational bookkeeping and generally only a few lines of code. In this paper, a differential evolution optimizer is implemented and compared to a particle swarm optimization for control of a first-order...
Force-reflecting teleoperators in which the remote environment is kinesthetically coupled to the operator can considerably increase task performance. Wave-variable-based controllers can support the stable operation of force-reflecting teleoperators under arbitrary communication delays. Transparency in such systems is compromised in order to maintain stability. We had previously proposed a modified...
The paper covers the problem involving the consequences of omitting to model the prehistory of dead time elements in control system modelling. It is shown that this omission is equivalent to the action of disturbances that can cause different effects, ranged from simple calculus differences to loss of stability. For this purpose three case studies are presented: a linear control system, a state feedback...
This paper studies how to design a congestion controller in TCP/AQM networks. In Hollot et al. (IEEE Trans. on Automatic Control, Vol. 47, No.6, 2002), the congestion controller is conservatively designed due to using the linearized model of the TCP/AQM networks in which a structured time-delay related term is treated as an unstructured uncertainty. Without treating any time-delay related term as...
Finite-time stability can be used in all applications where large values of the state are not acceptable. In this paper, we extend the concept of finite-time boundedness (FTB) for a class of linear discrete-time systems with time delay and time varying exogenous disturbances. Then, we present a new approach for finite-time control problems for these discrete-time systems. The main results provided...
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