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Arash Poorhashemi Shahri
Arash Poorhashemi Shahri
Department of Electrical Engineering, Islamic Azad University, Central Tehran Branch, Iran
Verified email at mshdiau.ac.ir
Title
Cited by
Cited by
Year
Designing dynamic fractional terminal sliding mode controller for a class of nonlinear system with uncertainties
A Pourhashemi, A Ramezani, M Siahi
International Journal of Automation and Control 13 (2), 197-225, 2019
122019
Dynamic fractional-order sliding mode strategy to control and stabilize fractional-order nonlinear biological systems
A Pourhashemi, A Ramezani, M Siahi
IETE Journal of Research 68 (4), 2560-2570, 2022
62022
Design of new fractional sliding mode control due to complete synchronization of commensurate and incommensurate fractional order chaotic systems
A Pourhashemi, A Ramezani, M Siahi
Automatic Control and Computer Sciences 52, 505-516, 2018
42018
Designing non-linear feedback control for controlling tumor growth
A Pourhashemi, S Haghighatnia, R KardehiMoghaddam, M Mollaei
Res. J. Appl. Sci. Eng. Technol. 6 (21), 4085-4089, 2013
32013
Identification of tumor-immune system via recurrent neural network
A Pourhashemi, S Haghighatnia, RK Moghaddam
Health and Technology 4, 27-30, 2014
12014
Fractional sliding mode control design for robust synchronization and anti-synchronization of fractional order nonlinear chaotic systems in finite time
A Ramezani, SA Pourhashemi Shahri, M Siahi
International Journal of Industrial Electronics Control and Optimization 2 …, 2019
2019
A Tumor Growth Model with Unmolded Dynamics Based on an Online Feedback Neural Network Model
S Haghighatnia, N Mollaei, RK Moghaddam, HR Kobravi
Research Journal of Applied Sciences, Engineering and Technology 7 (1), 169-173, 2014
2014
IMPROVING CLINICAL CONDITIONS BY ENLARGING TUMOR DORMANT STATE BASED ON DESIGN EQUILIBRIUM STATE BY LYAPUNOV STABILITY THEOREM
S HAGHIGHATNIA, RK MOGHADDAM, A POURHASHEMI
RESEARCH JOURNAL OF APPLIED SCIENCES, ENGINEERING AND TECHNOLOGY 6 (15 …, 2013
2013
Robust Stabilization of a class of fractional-order chaotic systems via a novel fractional sliding mode controller
A Pourhashemi, A Ramezani, M Siahi
The Journal of Mathematics and Computer Science Mathematics and Computer Science
N Khajehpour, AP Shahri, RK Moghaddam
Control the tumor growth via sliding mode control
A Pourhashemi, S Haghighatnia, RK Moghaddam, HR Kobravi
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