Ali Heydari

Orcid: 0000-0002-1569-8240

According to our database1, Ali Heydari authored at least 46 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Optimal Impulsive Control Using Adaptive Dynamic Programming and its Application in Spacecraft Rendezvous.
IEEE Trans. Neural Networks Learn. Syst., 2021

2020
Joint RSSD/AOA Source Localization: Bias Analysis and Asymptotically Efficient Estimator.
Wirel. Pers. Commun., 2020

Optimal sensor placement for source localization based on RSSD.
Wirel. Networks, 2020

Sensor placement for RSSD-based localization: Optimal angular placement and sequential sensor placement.
Phys. Commun., 2020

2019
Optimal Codesign of Control Input and Triggering Instants for Networked Control Systems Using Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2019

PLE-based estimators for RSSD source localisation with unknown transmitted power in wireless sensor networks.
IET Wirel. Sens. Syst., 2019

Optimal Torque Control of Permanent Magnet Synchronous Motors Using Adaptive Dynamic Programming.
CoRR, 2019

2018
Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018

Stability Analysis of Optimal Adaptive Control Under Value Iteration Using a Stabilizing Initial Policy.
IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal Triggering of Networked Control Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal Switching of DC-DC Power Converters Using Approximate Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2018

Stability Analysis of Optimal Adaptive Control Using Value Iteration With Approximation Errors.
IEEE Trans. Autom. Control., 2018

Sub-optimal scheduling in switched systems with continuous-time dynamics: A gradient descent approach.
Neurocomputing, 2018

IEEE Access Special Section Editorial: Recent Developments in Consensus Problems for Complex Networked Systems.
IEEE Access, 2018

2017
Optimal switching with minimum dwell time constraint.
J. Frankl. Inst., 2017

Theoretical analysis of stabilizing value iteration with approximation errors.
Proceedings of the 2017 American Control Conference, 2017

2016
Feedback Solution to Optimal Switching Problems With Switching Cost.
IEEE Trans. Neural Networks Learn. Syst., 2016

Policy iteration for optimal switching with continuous-time dynamics.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Optimal switching of DC-DC voltage converters using approximate dynamic programming.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Finite and infinite horizon optimal triggering of networked control systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Analysis of stabilizing value iteration for adaptive optimal control.
Proceedings of the 2016 American Control Conference, 2016

Analyzing policy iteration in optimal control.
Proceedings of the 2016 American Control Conference, 2016

Approximate solution to discrete-time optimal switching problems with minimum dwell time constraint.
Proceedings of the 2016 American Control Conference, 2016

2015
Optimal scheduling for reference tracking or state regulation using reinforcement learning.
J. Frankl. Inst., 2015

Optimal switching between controlled subsystems with free mode sequence.
Neurocomputing, 2015

Convergence Analysis of Policy Iteration.
CoRR, 2015

2014
Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2014

Revisiting Approximate Dynamic Programming and its Convergence.
IEEE Trans. Cybern., 2014

Optimal Control Approach for Turning Process Planning Optimization.
IEEE Trans. Control. Syst. Technol., 2014

Optimal switching between autonomous subsystems.
J. Frankl. Inst., 2014

Fixed-final-time optimal tracking control of input-affine nonlinear systems.
Neurocomputing, 2014

An adaptive critic-based scheme for consensus control of nonlinear multi-agent systems.
Int. J. Control, 2014

Theoretical and Numerical Analysis of Approximate Dynamic Programming with Approximation Errors.
CoRR, 2014

Stabilizing Value Iteration with and without Approximation Errors.
CoRR, 2014

Global optimality of approximate dynamic programming and its use in non-convex function minimization.
Appl. Soft Comput., 2014

Optimal switching of nonlinear systems with free mode sequence.
Proceedings of the American Control Conference, 2014

Approximate dynamic programming, local or global optimal solution?
Proceedings of the American Control Conference, 2014

Theoretical analysis of a reinforcement learning based switching scheme.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Finite-Horizon Control-Constrained Nonlinear Optimal Control Using Single Network Adaptive Critics.
IEEE Trans. Neural Networks Learn. Syst., 2013

Fixed-final-time optimal control of nonlinear systems with terminal constraints.
Neural Networks, 2013

Optimal multi-therapeutic HIV treatment using a global optimal switching scheme.
Appl. Math. Comput., 2013

2012
Decentralized control of nonlinear multi-agent systems using single network adaptive critics.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Approximate closed-form solutions to finite-horizon optimal control of nonlinear systems.
Proceedings of the American Control Conference, 2012

2011
High-efficiency server design.
Proceedings of the Conference on High Performance Computing Networking, 2011

Finite-horizon input-constrained nonlinear optimal control using single network adaptive critics.
Proceedings of the American Control Conference, 2011

2009
Magnetic attitude control using fuzzy logic.
Proceedings of the IEEE International Conference on Control Applications, 2009


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