Journal ArticleDOI
Introducing Belbic: Brain Emotional Learning Based Intelligent Controller
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This paper has adapted a computational model based on the limbic system in the mammalian brain for control engineering applications, and applied the proposed controller for some SISO, MIMO and nonlinear systems.Abstract:
Modeling emotions has attracted much attention in recent years, both in cognitive psychology and design of artificial systems. Far from being a negative factor in decision making, emotions have shown to be a strong faculty for making fast satisficing decisions. In this paper, we have adapted a computational model based on the limbic system in the mammalian brain for control engineering applications. We applied the proposed controller (termed BELBIC) for some SISO, MIMO and nonlinear systems. Our results demonstrate excellent control action, disturbance handling and system parameter robustness for BELBIC.read more
Citations
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Journal ArticleDOI
Practical emotional neural networks
TL;DR: In this paper, a limbic-based artificial emotional neural network (LiAENN) is proposed for a pattern recognition problem and shows a higher accuracy than other applied emotional networks such as brain emotional learning (BEL) and emotional back propagation (EmBP) based networks.
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Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger
TL;DR: The brain emotional learning based intelligent controller (BELBIC) based on PID control is adopted for the micro-heat exchanger plant and the contribution of BELBIC in improving the control system performance is shown by comparison with results obtained from classic PID controller without BelBIC.
Journal ArticleDOI
Aerospace launch vehicle control: an intelligent adaptive approach
TL;DR: In this paper, a theoretical analysis of on-line intelligent adaptive tracking controller based on emotional learning model in mammalians brain (BELBIC) for aerospace launch vehicle is presented.
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Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm
TL;DR: The research discussed the strong points of new method based on neurofuzzy and limbic system structure against classical and other intelligent methods and confirmed the significance of structural brain modeling beyond the classical artificial neural networks.
Journal ArticleDOI
Motion Control of Omni-Directional Three-Wheel Robots by Brain-Emotional-Learning-Based Intelligent Controller
TL;DR: The results show that the brain-emotional-learning-based intelligent controller (BELBIC) with quadratic reward, comparable to linear-quadratic-regulator (LQR) control, is used in an omni-directional robot.
References
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Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI
The Optimal Control of Partially Observable Markov Processes over a Finite Horizon
TL;DR: In this article, the optimal control problem for a class of mathematical models in which the system to be controlled is characterized by a finite-state discrete-time Markov process is formulated.
Journal ArticleDOI
DNA shuffling of a family of genes from diverse species accelerates directed evolution
TL;DR: This work compared the efficiency of obtaining moxalactamase activity from four cephalosporinase genes evolved separately with that from a mixed pool of the four genes, and found the best clone contained eight segments from three of theFour genes as well as 33 amino-acid point mutations.
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Architecture for an Artificial Immune System
Steven Hofmeyr,Stephanie Forrest +1 more
TL;DR: In this paper, ARTIS is applied to computer security in the form of a network intrusion detection system called LISYS, which is shown to be effective at detecting intrusions, while maintaining low false positive rates.
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"Go to the ant": Engineering principles from natural multi-agent systems
TL;DR: This paper summarizes several studies of such systems, and derives a set of general principles that artificial multi-agent systems can use to support overall system behavior significantly more complex than the behavior of the individuals agents.