Pantiwa Srisilp
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Pantiwa Srisilp has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Kanit Mukdasai
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
2 shared publications - Jessada Tariboon
Intelligent and Nonlinear Dynamic Innovations Research Center, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
1 shared publication - Jitsin Piyawatthanachot
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
1 shared publication - Narongsak Yotha
Department of Applied Mathematics and Statistics, Rajamangala University of Technology Isan, Nakhon Ratchasima, Thailand
1 shared publication - Nattapong Kamsrisuk
Intelligent and Nonlinear Dynamic Innovations Research Center, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand
1 shared publication - Nayika Samorn
Department of Interdisciplinary Studies, Faculty of Agriculture and Technology, Nakhon Phanom University, Nakhon Phanom, Thailand
1 shared publication
Latest Publications
- 25 November 2022
- Published by International Scientific Research Publications in Journal of Mathematics and Computer Science
- Vol. 30 (01) , 38-47
Uniform asymptotic stability of q -deformed conformable fractional systems with delay and application
In this article, we initiate the study of new concepts of conformable \(q\)-fractional calculus. The conformable fractional \(q\)-derivative and \(q\)-integral are defined and their fundamental theorems are also proved. The uniform asymptotic stability of the \(q\)-deformed conformable fractional system with constant delay is investigated by using the Lyapunov-Razumikhin method. For application, a new asymptotic stability necessary condition for the conformable \(q\)-fractional linear system with constant delay is obtained in term of linear matrix inequality (LMI). A numerical example is demonstrated for the results given to illustrate the effectiveness.- 25 November 2022
- Published by International Scientific Research Publications in Journal of Mathematics and Computer Science
- Vol. 30 (01) , 38-47
Uniform asymptotic stability of q -deformed conformable fractional systems with delay and application
In this article, we initiate the study of new concepts of conformable \(q\)-fractional calculus. The conformable fractional \(q\)-derivative and \(q\)-integral are defined and their fundamental theorems are also proved. The uniform asymptotic stability of the \(q\)-deformed conformable fractional system with constant delay is investigated by using the Lyapunov-Razumikhin method. For application, a new asymptotic stability necessary condition for the conformable \(q\)-fractional linear system with constant delay is obtained in term of linear matrix inequality (LMI). A numerical example is demonstrated for the results given to illustrate the effectiveness.- Open Access
- 10 June 2021
- Published by MDPI AG in Computation
- Vol. 9 (6) , 70
LMI-Based Results on Robust Exponential Passivity of Uncertain Neutral-Type Neural Networks with Mixed Interval Time-Varying Delays via the Reciprocally Convex Combination Technique
The issue of the robust exponential passivity analysis for uncertain neutral-type neural networks with mixed interval time-varying delays is discussed in this work. For our purpose, the lower bounds of the delays are allowed to be either positive or zero adopting the combination of the model transformation, various inequalities, the reciprocally convex combination, and suitable Lyapunov–Krasovskii functional. A new robust exponential passivity criterion is received and formulated in the form of linear matrix inequalities (LMIs). Moreover, a new exponential passivity criterion is also examined for systems without uncertainty. Four numerical examples indicate our potential results exceed the previous results.
- 10 June 2021
- Published by MDPI AG in Computation
- Vol. 9 (6) , 70
Open AccessLMI-Based Results on Robust Exponential Passivity of Uncertain Neutral-Type Neural Networks with Mixed Interval Time-Varying Delays via the Reciprocally Convex Combination Technique
The issue of the robust exponential passivity analysis for uncertain neutral-type neural networks with mixed interval time-varying delays is discussed in this work. For our purpose, the lower bounds of the delays are allowed to be either positive or zero adopting the combination of the model transformation, various inequalities, the reciprocally convex combination, and suitable Lyapunov–Krasovskii functional. A new robust exponential passivity criterion is received and formulated in the form of linear matrix inequalities (LMIs). Moreover, a new exponential passivity criterion is also examined for systems without uncertainty. Four numerical examples indicate our potential results exceed the previous results.