SelectedWorks - George G. Lendaris

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Selected Works of George G. Lendaris

Emeritus Professor of Systems Science and of Electrical & Computer Engineering

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About George G. Lendaris

Present	Emeritus Professor of Systems Science and of Electrical & Computer Engineering, Portland State University
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

Controls and Control Theory and Systems Science

Optimal Energy Resource Mix for the US and China to ...

Applied Energy (2019)

John G. Anasis, M. A. K. Khalil, Christopher L. Butenhoff, Randall Bluffstone, et al.

The emissions pledges of the US and China as outlined in their November 2014 agreement and in the Paris Climate ...

A Combined Energy and Geoengineering Optimization Model (CEAGOM) for Climate ...

Applied Energy (2018)

John G. Anasis, M. A. K. Khalil, Christopher Butenhoff, Randall Bluffstone, et al.

Addressing greenhouse gas emissions and the associated global temperature rise will be one of the key issues of the 21st ...

An Analysis of the Optimal Mix of Global Energy Resources ...

Global Challenges (2017)

John George Anasis, M. A. K. Khalil, George G. Lendaris, Christopher L. Butenhoff, et al.

Humanity faces tremendous challenges as a result of anthropogenic climate change caused by greenhouse gas emissions. The mix of resources ...

A Proposal For Indicating Quality Of Generalization When Evaluating Anns

1990 IJCNN International Joint Conference on Neural Networks (2012)

George G. Lendaris

An expression is proposed to serve as a model for indicating quality of generalization when evaluating ANNs (analog neural networks). ...

Explorations on System Identification via Higher-Level Application of Adaptive-Critic Approximate ...

Proceedings of the International Joint Conference on Neural Networks (2011)

Joshua G. Hughes and George G. Lendaris

In previous work it was shown that Adaptive- Critic-type Approximate Dynamic Programming could be applied in a "higher-level" way to ...

Higher-level Application of Adaptive Dynamic Programming/Reinforcement Learning - A Next ...

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) (2011)

George G. Lendaris

In previous work it was shown that Adaptive-Critic-type Approximate Dynamic Programming could be applied in a â€œhigher-levelâ€ way to create ...

Higher-level Application of Adaptive Dynamic Programming/reinforcement Learning – A Next ...

Systems Science Friday Noon Seminar Series (2011)

George G. Lendaris

Humans have the ability to make use of experience while performing system identification and selecting control actions for changing situations. ...

A Retrospective on Adaptive Dynamic Programming for Control

Proceedings of the International Joint Conference on Neural Networks (2009)

George G. Lendaris

Some three decades ago, certain computational intelligence methods of reinforcement learning were recognized as implementing an approximation of Bellman's Dynamic ...

Adaptive Dynamic Programming Approach to Experience-Based Systems Identification and Control

Neural Networks (2009)

George G. Lendaris

Humans have the ability to make use of experience while selecting their control actions for distinct and changing situations, and ...

Higher Level Application of ADP: A Next Phase for the ...

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (2008)

George G. Lendaris

Two distinguishing features of humanlike control vis-a-vis current technological control are the ability to make use of experience while selecting ...

Effectiveness Of a Coupled Oscillator Network For Surface Discernment By ...

IEEE International Conference on Neural Networks - Conference Proceedings (2007)

Andrew H. Toland, Lars A. Holstrom and George G. Lendaris

Inspired by examples of oscillatory circuits in biological brains, we explore a hypothesis that one role of dynamical neural networks ...

Experience Based Surface Discernment by a Quadruped Robot

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007 (2007)

Lars Holmstrom, Andrew Toland and George G. Lendaris

The task of autonomous surface discernment by an AIBO robotic dog is addressed. Different surface textures (plywood board, thin foam, ...

Experience-Based Identification and Control via Higher-Level Learning And Context Discernment

IEEE International Conference on Neural Networks - Conference Proceedings (2006)

George G. Lendaris

In AI systems so far developed, more knowledge (typically stored as "rules") entails slower processing; in the case of humans, ...

On-Line System Identification Using Context Discernment

Proceedings of the International Joint Conference on Neural Networks (2005)

Lars Holmstrom, Roberto Santiago and George G. Lendaris

Mathematical models are often used in system identification applications. The dynamics of most systems, however, change over time and the ...

Reinforcement Learning and the Frame Problem

Proceedings of the International Joint Conference on Neural Networks (2005)

Roberto Santiago and George G. Lendaris

The Frame Problem, originally proposed within AI, has grown to be a fundamental stumbling block for building intelligent agents and ...

Learning with Binary-Valued Utility Using Derivative Adaptive Critic Methods

IEEE International Conference on Neural Networks - Conference Proceedings (2004)

Shari A. Matzner, Thaddeus T. Shannon and George G. Lendaris

Adaptive critic methods for reinforcement learning are known to provide consistent solutions to optimal control problems, and are also considered ...

Guidance in the Use of Adaptive Critics for Control

Handbook of Learning and Approximate Dynamic Programming (2004)

George G. Lendaris and James C. Neidhoefer

This chapter, along with Chapter 3, provides an overview of several ADP design techniques. While Chapter 3 deals more with ...

Adaptive Critic Design of a Control Augmentation System for an ...

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (2003)

Roberto A. Santiago and George G. Lendaris

Command Augmentation Systems (CAS) are a common part of modern airplane control and are best characterized as a form of ...

Artificial Neural Network Implementation Using Many-Valued Quantum Computing

Proceedings of the International Joint Conference on Neural Networks (2003)

Anas N. Al-Rabadi and George G. Lendaris

Neural network (NN) implementation using the general scheme of many-valued (MV) quantum computing (QC) is presented in this paper. The ...

Accelerating Critic Learning in Approximate Dynamic Programming via Value Templates ...

Proceedings of the International Joint Conference on Neural Networks (2003)

Thaddeus T. Shannon, Roberto A. Santiago and George G. Lendaris

The concept of value templates and perceptual learning are introduced as refinements to the reinforcement learning (RL) paradigm. We demonstrate ...

An Automated Method for Neuronal Spike Source Identification

Proceedings of the International Joint Conference on Neural Networks (2003)

Roberto A. Santiago, James N. McNames, Kim Burchiel and George G. Lendaris

Analysis of microelectrode recordings (MER) of extracellular neuronal activity has gained increasing interest due to potential improvements to surgical techniques ...

Controller Design via Adaptive Critic and Model Reference Methods

Proceedings of the International Joint Conference on Neural Networks (2003)

George G. Lendaris, Roberta Santiago, Jay McCarthy and Michael Carroll

Dynamic Programming (DP) is a principled way to design optimal controllers for certain classes of nonlinear systems; unfortunately, DP is ...

Intelligent Supply Chain Management Using Adaptive Critic Learning

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. (2003)

Stephen Shervais, Thaddeus T. Shannon and George G. Lendaris

A set of neural networks is employed to develop control policies that are better than fixed, theoretically optimal policies, when ...

Developments in Understanding Neuronal Spike Trains and Functional Specializations in ...

Neural Networks (2003)

Roberto A. Santiago and George G. Lendaris

Understanding information processing at the neuronal level would provide valuable insights to computational intelligence research and computational neuroscience. In particular, ...

A Radial Basis Function Implementation of the Adaptive Dynamic Programming ...

Midwest Symposium on Circuits and Systems (2002)

George G. Lendaris, C.J. Cox, Richard Saeks and J.J. Murray

Adaptive Dynamic Programming constitutes a potentially powerful approach to optimal control. An approximation to the Bellman cost functional is updated ...