Parameter Estimation of Lorenz Chaotic System Based on a Hybrid Jaya-Powell Algorithm

Li, Zhuang; Cao, Longpeng; Wu, Yong; Zhong, Yonghong; Zhangzhong, Lili; Zheng, Wengang; Wang, Long

doi:10.1109/access.2020.2968106

Cited by 17 publications

(8 citation statements)

References 24 publications

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“…Raspberry Pi has been widely used as the target platform in many optimization process, some very recently. 28,29 The second platform was an ASUS Laptop with a processor Intel(R) Core(TM) i5-2450M 2.5 GHz, 4 cores and 8GB RAM and Ubuntu 14.04.1 LTS as the operating system. Finally, we also ran our experiments on a desktop personal computer (PC) provided with an Intel(R) Core TM i5-4430 processor, 3 GHz, 4 cores, 32GB RAM using as operating system Ubuntu 14.04.1 LTS .…”

Section: Methodsmentioning

confidence: 99%

Population size influence on the energy consumption of genetic programming

Álvarez

Castillo

Vega

et al. 2022

Measurement and Control

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Evolutionary Algorithms (EAs) are routinely applied to solve a large set of optimization problems. Traditionally, their performance in solving those problems is analyzed using the fitness quality and computing time, and the effect of evolutionary operators on both metrics is routinely used to compare different versions of EAs. Nevertheless, scientists face nowadays the challenge of considering the energy efficiency in addition to computational time, which requires studying the energy consumption of algorithms. This paper discusses the interest of introducing power consumption as a new metric to analyze the performance of standard genetic programming (GP). Two well-studied benchmark problems are addressed on three different computing platforms, and two different approaches to measure the power consumption have been tested. Analyzing the population size, the results demonstrates its influence on the energy consumed: a non-linear relationship was found between size and energy required to complete an experiment. This analysis was extended to the cache memory and results show an exponential growth in the number of cache misses as the population size increases, which affects the energy consumed. This study shows that not only computing time or solution quality must be analyzed, but also the energy required to find a solution. Summarizing, this paper shows that when GP is applied, specific considerations on how to select parameter values must be taken into account if the goal is to obtain solutions while searching for energy efficiency. Although the study has been performed using GP, we foresee that it could be similarly extended to EAs.

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Section: Methodsmentioning

confidence: 99%

Population size influence on the energy consumption of genetic programming

Álvarez

Castillo

Vega

et al. 2022

Measurement and Control

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“…JAYA is a Sanskrit word, which refer to the triumph and victory. In the JCA procedure, the terminology “populace” expresses the population individuals to formulate competitors, and it is divided to two categories as best and worst ones 28 . The optimization behavior is emphasized by the competition between the competitors in the JCA architecture.…”

Section: Proposed Jaya‐based Sliding‐mode Techniquementioning

confidence: 99%

Enhancement of tidal generators by superconducting energy storage and Jaya‐based sliding‐mode controller

Othman

2020

Int J Energy Res

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This article presents a novel control technique of Jaya-based super-sliding controller that is applied on superconducting magnetic energy storage system (SCMES). The SCMES will be integrated to operate with tidal turbine generators (TTGs). The penetration of TTGs has recently grown due to distributed generation contributions to the energy sector. To alleviate the potential system instability due to TTG dynamic performance, SCMES is connected to TTG to support the dynamic operational conditions. SCMES is implemented to act quickly during both cases of power generation and absorption, so it can realize any required mismatch between the supply and load power at dynamic transient periods. To enhance such capability, this article proposes the application of Jaya-based super-sliding control technique to control and tune the system dynamic gains. The proposed technique implements incorporated cooperative algorithms using enhanced Jaya competitive algorithm and super-sliding method to facilitate the exchange of energy between the SCMES, the TTG, and the power network. It allows smooth dynamic performance, power quality enhancement, and robust dynamic reference tracking. Jaya-based super-sliding controller is developed and proposed for accurate and reliable control and tunning of system parameters. The proposed controller ensures the superb performance of the synergy of SCMESs and TTGs. Digital simulations have validated the effectiveness of the proposed system with the optimal dynamic parameters and minimization of the global control error.

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“…Figure 11 displays our MATLAB/Simulink model of the receiver with the two-channel synergetic observer and implements the initial model and observer equations from Subsection 3.5. In Figure 11 the blocks a1 and c1 consist function (18).…”

Section: Two-channel Synergetic Observer Analytical Design Procedures mentioning

confidence: 99%

“…To compare the obtained results, the chaotic system was estimated using the least squares method in Section 3.7. In Section 4.1, some hardware system implementation options on an Arduino, Raspberry Pi and FPGAs are discussed based on examples from other studies described earlier [14][15][16][17][18][19][20]. Besides Section 4 provides examples of system software implementation, including an example of digital data software transmission (Section 4.2) and secured image transmission via the designed system in Section 4.3.…”

Section: Introductionmentioning

confidence: 99%

A Data Secured Communication System Design Procedure with a Chaotic Carrier and Synergetic Observer

Mushenko

Dzuba²,

Nekrasov

et al. 2020

Electronics

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We have considered the problem of secure communication by means of chaotic carrier communication channels. Data protection is provided if the signal in the communication channel looks like a stochastic or noisy one, i.e., by the steganography property, and also by using advanced and secured approaches of mixing a useful signal into a chaotic carrier. The problem is to find effective and efficient techniques for useful signal reconstruction at the receiver side. We firstly use a synergetic nonlinear mathematical observer to recover the two useful signals transmitted simultaneously over a single communication channel. Compared to a known observer, the synergetic one operates with initial nonlinear models, i.e., it may be applied directly to chaotic systems. In that system structure, we consider the useful signals as unobservable variables and estimate them by the given model of a chaotic generator. A chaotic data transmission system with two channels is demonstrated; the presented mathematical procedure explains the steps of synergetic two-channel observer design. Computer simulation results prove the viability of our approach. The proposed data transmission scheme and the observer design procedure provide effective transmission and reconstruction of informational signals. Reconstruction error is up to approximately 25% but has a very short pulses shape and could be eliminated with further analog or digital filtering algorithms. As an example application, simulation of image transmission and recovery is demonstrated. The study's results may be used as a basis for further research into secure data transmission system design.Electronics 2020, 9, 497 2 of 24 Related Works and Methods OverviewThe overall issues and approaches of chaotic communications when using chaotic modulation schemes were briefly described by Riaz and Ali [21]. According to their study [21], the most common modulation schemes are: chaos shift keying (CSK); differential chaos shift keying (DCSK); additive chaos modulation (ACM); and multiplicative chaos modulation (MCM). CSK and DCKS provide secure communication by shifting between two identical or different chaotic generators. ACM and MCM provide mixing of the useful signal directly into the mathematical model of a chaotic generator in a linear (additive) or nonlinear (multiplicative) manner. In all of these schemes, one of the data secure factors is a chaotic carrier signal frequency ten times greater than the useful signal frequency or more. ACM with a combination of MCM was explored by Kevin Short in the 1990s [22] in several Electronics 2020, 9, 497 3 of 24 papers, where he proves that this kind of combined modulation does not provide security for a 3rd order system. In addition, we note that using only MCM is a more secure approach due to nonlinear mixing of the useful signal and MCM as a secure scheme is thus widely used in much research as indicated below. Different approaches and applications of chaotic data communication systems design have been illustrated in several recent papers [23][2...

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Parameter Estimation of Lorenz Chaotic System Based on a Hybrid Jaya-Powell Algorithm

Cited by 17 publications

References 24 publications

Population size influence on the energy consumption of genetic programming

Population size influence on the energy consumption of genetic programming

Enhancement of tidal generators by superconducting energy storage and Jaya‐based sliding‐mode controller

A Data Secured Communication System Design Procedure with a Chaotic Carrier and Synergetic Observer

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