Howard Schwartz

Professor

Carleton University

Canada

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Howard Schwartz is a Professor at Carleton University in Canada. His research areas include fuzzy set methodologies, multi-agent reinforcement learning, fuzzy reinforcement learning, and control systems for uncertain nonlinear dynamics. He has published recent articles exploring topics such as autonomous navigation, maximum power extraction in wind energy conversion systems, and strategies for learning deception in reinforcement learning environments.

Articles (6)

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Collaborators (2)

Saad Mekhilef

Distinguished Professor

Swinburne University of Technology

AUSTRALIA

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Hemanshu Pota

University of New South Wales

AUSTRALIA

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Howard Schwartz

Research Interests

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Articles (6)

A fuzzy set-based methodology for autonomous navigation

Enhancing cooperative multi-agent reinforcement learning through the integration of R-STDP and federated learning

An adaptable fuzzy reinforcement learning method for non-stationary environments

Fixed‐time sliding mode observer‐based controller for a class of uncertain nonlinear double integrator systems

Fixed-time observer-based control of DFIG-based wind energy conversion systems for maximum power extraction

Learning Deception Using Fuzzy Multi-Level Reinforcement Learning in a Multi-Defender One-Invader Differential Game

Collaborators (2)

Saad Mekhilef

Hemanshu Pota

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