Sitian Qin
Orcid: 0000-0002-4543-4940
According to our database1,
Sitian Qin
authored at least 73 papers
between 2009 and 2024.
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Bibliography
2024
Neurodynamic Approaches to Multiple Constrained Distributed Resource Allocation With Planned or Self-Regulated Demand.
IEEE Trans. Ind. Informatics, January, 2024
A Hessian-based zeroing neurodynamic approach for quaternion-variable time-varying constrained optimization problems.
Neurocomputing, January, 2024
A Distributed Optimization Algorithm for Fixed-Time Flocking of Second-Order Multiagent Systems.
IEEE Trans. Netw. Sci. Eng., 2024
2023
An Adaptive Memristor-Programming Neurodynamic Approach to Nonsmooth Nonconvex Optimization Problems.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
An adaptive finite-time neurodynamic approach to distributed consensus-based optimization problem.
Neural Comput. Appl., October, 2023
Fixed-time consensus-based distributed Nash equilibrium seeking for noncooperative game with second-order players.
Neurocomputing, October, 2023
A Novel Projection Neural Network for Solving a Class of Monotone Variational Inequalities.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
Neural Networks, September, 2023
Neural Comput. Appl., May, 2023
An adaptive generalized Nash equilibrium seeking algorithm under high-dimensional input dead-zone.
Inf. Sci., May, 2023
Two-stage continuous-time triggered algorithms for constrained distributed optimization over directed graphs.
J. Frankl. Inst., February, 2023
Distributed Generalized Nash Equilibrium Seeking for Noncooperative Game Under Intermittent Communication.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Convergence analysis of the nontrivial stationary solution of the memristor-based neural networks with reaction-diffusion terms.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023
2022
An Adaptive Continuous-Time Algorithm for Nonsmooth Convex Resource Allocation Optimization.
IEEE Trans. Autom. Control., 2022
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints.
Neural Networks, 2022
A second-order accelerated neurodynamic approach for distributed convex optimization.
Neural Networks, 2022
Neurodynamic algorithms for constrained distributed convex optimization over fixed or switching topology with time-varying communication delay.
Neural Comput. Appl., 2022
An adaptive penalty-like continuous-time algorithm to constrained distributed convex optimization.
J. Frankl. Inst., 2022
Neurocomputing, 2022
Neurocomputing, 2022
A Neurodynamic Approach to Nonsmooth Quaternion Distributed Convex Optimization With Inequality and Affine Equality Constraints.
IEEE Access, 2022
2021
Continuous-Time Algorithm for Approximate Distributed Optimization With Affine Equality and Convex Inequality Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems.
Neural Networks, 2021
A nonautonomous-differential-inclusion neurodynamic approach for nonsmooth distributed optimization on multi-agent systems.
Neural Comput. Appl., 2021
Exponential bipartite synchronization of delayed coupled systems over signed graphs with Markovian switching via intermittent control.
J. Frankl. Inst., 2021
A power reformulation continuous-time algorithm for nonconvex distributed constrained optimization over multi-agent systems.
Neurocomputing, 2021
Neural networks with finite-time convergence for solving time-varying linear complementarity problem.
Neurocomputing, 2021
Int. J. Artif. Intell. Tools, 2021
Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks.
Cybern. Syst., 2021
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021
2020
Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020
Neural Networks, 2020
Exponential stability of periodic solution for a memristor-based inertial neural network with time delays.
Neural Comput. Appl., 2020
A subgradient-based continuous-time algorithm for constrained distributed quadratic programming.
J. Frankl. Inst., 2020
An inverse-free Zhang neural dynamic for time-varying convex optimization problems with equality and affine inequality constraints.
Neurocomputing, 2020
A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization.
Neurocomputing, 2020
Int. J. Comput. Intell. Syst., 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
2019
A Novel Neurodynamic Approach to Constrained Complex-Variable Pseudoconvex Optimization.
IEEE Trans. Cybern., 2019
A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints.
Neural Networks, 2019
A generalized neural network for distributed nonsmooth optimization with inequality constraint.
Neural Networks, 2019
Global exponential stability of uncertain memristor-based recurrent neural networks with mixed time delays.
Int. J. Mach. Learn. Cybern., 2019
Neurocomputing, 2019
A neurodynamic approach to compute the generalized eigenvalues of symmetric positive matrix pair.
Neurocomputing, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
A One-Layer Recurrent Neural Network for Constrained Complex-Variable Convex Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018
Neural network for nonsmooth pseudoconvex optimization with general convex constraints.
Neural Networks, 2018
A recurrent neural network with finite-time convergence for convex quadratic bilevel programming problems.
Neural Comput. Appl., 2018
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Recurrent neural network for complex-variable pseudoconvex optimization with equality constraints.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints.
IEEE Trans. Cybern., 2017
Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays.
Int. J. Pattern Recognit. Artif. Intell., 2017
2016
Neural Networks, 2016
Global exponential stability of uncertain neural networks with discontinuous Lurie-type activation and mixed delays.
Neurocomputing, 2016
Exponential Stability of Anti-periodic Solution of Cohen-Grossberg Neural Networks with Mixed Delays.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Convergence and attractivity of memristor-based cellular neural networks with time delays.
Neural Networks, 2015
Neural Networks, 2015
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
2014
Global Robust Exponential Stability for Interval Delayed Neural Networks with Possibly Unbounded Activation Functions.
Neural Process. Lett., 2014
Commun. Nonlinear Sci. Numer. Simul., 2014
A simplified recurrent neural network for pseudoconvex optimization subject to linear equality constraints.
Commun. Nonlinear Sci. Numer. Simul., 2014
2013
Global exponential stability of almost periodic solution of delayed neural networks with discontinuous activations.
Inf. Sci., 2013
Neurocomputing, 2013
Training Least-Square SVM by a Recurrent Neural Network Based on Fuzzy c-mean Approach.
Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013
2010
IEEE Trans. Autom. Control., 2010
Math. Comput. Model., 2010
Neurocomputing, 2010
2009
Global Exponential Stability and Global Convergence in Finite Time of Neural Networks with Discontinuous Activations.
Neural Process. Lett., 2009