期刊论文

Lu, Jinhu(jhlu@iss.ac.cn)

英文

IEEE Transactions on Circuits and Systems II: Express Briefs

1549-7747

2021

68

6

2082-2086

10.1109/TCSII.2020.3044939

Manuscript received November 14, 2020; accepted December 10, 2020. Date of publication December 15, 2020; date of current version May 27, 2021. This work was supported in part by the National Key Research and Development Program of China under Grant 2016YFB0800401, and in part by the National Natural Science Foundation of China under Grant 61773175, Grant 61702377, Grant 61936004, and Grant 61621003. This brief was recommended by Associate Editor E. Vianello. (Corresponding author: Jinhu Lü.) Hui Liu, Jun Chi, and Zhigang Zeng are with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China, and also with the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan 430074, China (e-mail: hliu@hust.edu.cn; chijun@hust.edu.cn; zgzeng@hust.edu.cn).

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Memristor-based chaotic systems have been received great attention from researchers in the last decade. This brief investigates parameter identification of a memristor-based chaotic system (proposed by Muthuswamy in 2010). Uncertain parameter identification has not been studied yet for memristor-based chaotic systems. Using the Lyapunov stability theory and Barbǎlat lemma, two theorems are established to identify uncertain parameters of the system under the following two cases: i) the memductance is unknown; ii) capacitances and inductances ar...