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Robust Control, Optimization, and Applications to Markovian Jumping Systems

Shuping He, Zhengguang Wu, Hao Shen, Yanyan Yin, Quanxin Zhu
2014 Abstract and Applied Analysis  
systems, networked control systems, time-delayed systems, neural networks, the Takagi-Sugeno fuzzy systems, simulated annealing, and fault detection methods.  ...  in this special issue include stochastic stability, stabilization, stochastic control optimization, system modeling and identification methods, predictive control, signal processing, robust filtering, multiagent  ...  The paper entitled "Boundary recognition by simulating a diffusion process in wireless sensor networks" by D.  ... 
doi:10.1155/2014/582549 fatcat:wamtzydcezhwfnwbo5vgcmhq5y

Stochastic Systems: Modeling, Optimization, and Applications

Shuping He, Ju H. Park, Hao Shen, Zhengguang Wu, Hongsheng Dai
2014 Mathematical Problems in Engineering  
systems, nonlinear systems, time-delayed systems, neural networks, T-S fuzzy systems, simulated annealing, and fault diagnosis methods.  ...  Many stochastic systems, such as switching systems, Markovian jumping systems, jumping neural networks, T-S fuzzy jumping systems and network control systems, have arisen naturally in the mathematical  ...  Lu et al. proposes a new despeckling algorithm based on directionlets using multiscale products.  ... 
doi:10.1155/2014/713969 fatcat:5r3xcqxccjeoln5c6tafplu63m

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid

Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
We use real household electricity consumption data to simulate the retail market for evaluating our strategy.  ...  In this paper, we develop an effective pricing strategy for brokers in local electricity retail market based on recurrent deep multiagent reinforcement learning and sequential clustering.  ...  The neural network structure is already shown in Figure 2 .  ... 
doi:10.24963/ijcai.2018/79 dblp:conf/ijcai/YangHSWFS18 fatcat:uel4adcwpbcclevqtm73u6d6ae

mt5se: An Open Source Framework for Building Autonomous Trading Robots [article]

Paulo André Lima de Castro
2022 arXiv   pre-print
These initiatives include traditional neural networks, fuzzy logic, reinforcement learning but also more recent approaches like deep neural networks and deep reinforcement learning.  ...  Furthermore, we discuss the simple architecture that is used in many studies and propose an alternative multiagent architecture.  ...  ] , neural networks [40] , Bayesian dynamic networks [41] , reinforcement learning [42] and so on.  ... 
arXiv:2101.08169v3 fatcat:z56qcy7gmncd3guv4pybsg57n4

Introduction to the special issue on neural networks in financial engineering

Y.S. Abu-Mostafa, A.F. Atiya, M. Magdon-Ismail, H. White
2001 IEEE Transactions on Neural Networks  
They use their multiagent representation to model and hence forecast multiple foreign exchange markets.  ...  They use recurrent neural networks, and compare it with a fixed-order Markov model and GARCH.  ...  His interests include econometrics, statistics, artificial neural networks, forecasting, and financial markets. Dr.  ... 
doi:10.1109/tnn.2001.935079 fatcat:r4mg7cefljb2vi2spmc7qlk32m

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
Networks With Partial Mea-Distributed Fault Estimation for a Class of Nonlinear Multiagent Systems. theses: Theory and Simulation.  ...  ., +, TSMC Sept. 2020 3401-3411 Adaptive Discrete Event Simulation Systems to Embrace Changes of Observer-Based Consensus of Nonlinear Multiagent Systems With Relative A Neural Adaptive Approach for Active  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy


Marina V. Sokolova, Antonio Fernández-Caballero, Francisco Gómez
1970 Eidos  
review is devoted to related research and presents an overview of current research in areas of complex system analysis and decision making by the means of intelligent tools, including those that are agent-based  ...  Software agents. [33] The results obtained from two different neural networks are compared. To predict traffic related PM 2.5 and PM 10 emissions by an artificial neural networks based model.  ...  Feed Forward and Radial Basis Function neural networks.  ... 
doi:10.29019/eidos.v0i4.84 fatcat:5zx4cyw7i5gvvpmo22ryovqlwa

Agents in industry: the best from the AAMAS 2005 industry track

M. Pechoucek, S.G. Thompson, J.W. Baxter, G.S. Horn, K. Kok, C. Warmer, R. Kamphuis, V. Maric, P. Vrba, K.H. Hall, F.P. Maturana, K. Dorer (+1 others)
2006 IEEE Intelligent Systems  
The articles in this department intend to give some indication of agent technology's readiness for commercial deployment, based primarily on the presentations and discussions at the inaugural Industry  ...  Reduction of unpredictability in the trade portfolio reduces imbalance costs charged to the trader by the independent network operator.  ...  People often view agent technology as a black-box technology (like neural networks or genetic algorithms) that you can insert to solve a particular complex problem.  ... 
doi:10.1109/mis.2006.19 fatcat:66r27spkmnacppwhzpu6rmco6e

AI in Finance: Challenges, Techniques and Opportunities [article]

Longbing Cao
2021 arXiv   pre-print
Typical methods include various classic artificial neural networks (ANN), recurrent neural networks (RNN), wavelet neural networks, genetic neural networks, fuzzy neural networks, and DNN variants including  ...  GNN), deep Bayesian networks and neural language models (e.g., Transformer) can be used for the above EcoFin purposes.  ... 
arXiv:2107.09051v1 fatcat:g62cz4dqt5dcrbckn4lbveat3u

Design and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate Arrays

2011 American Journal of Applied Sciences  
Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network.  ...  of the neural network mechanism.  ...  CONCLUSION By simulating with KLSE index data the proposed stock market forecasting system based on neural network is successfully designed, implemented and tested on FLEX 10KE FPGA chip.  ... 
doi:10.3844/ajassp.2011.1054.1060 fatcat:pfhiyzyinjfffo2oxmmjvrp2fi

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
2021 arXiv   pre-print
sciences, and agent-based modeling and simulation, etc.  ...  Neural computing methods Wavelet neural network, genetic neural network, recurrent neural network, deep neural networkMacroeconomic and microeconomic factor correlation analysis, valuation and pricing  ... 
arXiv:2007.12681v2 fatcat:jntzuwaktjg2hmmjypi5lvyht4

A Multiagent Approach to $Q$-Learning for Daily Stock Trading

Jae Won Lee, Jonghun Park, Jangmin O, Jongwoo Lee, Euyseok Hong
2007 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
Index Terms-Financial prediction, intelligent multiagent systems, portfolio management, Q-learning, stock trading.  ...  Motivated by this, we present a new stock trading framework that attempts to further enhance the performance of reinforcement learning-based systems.  ...  The same neural network structure was used for all the agents of MQ-Trader.  ... 
doi:10.1109/tsmca.2007.904825 fatcat:zhd7ymsfxnhprjqptezxgopyai

Data science and AI in FinTech: an overview

Longbing Cao, Qiang Yang, Philip S. Yu
2021 International Journal of Data Science and Analytics  
sciences, and agent-based modeling and simulation, etc.  ...  These tasks apply deep learning models, including basic deep neural networks and their recent developments, such as diversified deep neural mechanisms, architectures and networks (e.g., recurrent neural  ... 
doi:10.1007/s41060-021-00278-w fatcat:4qo3swacjbaaxh56p5bvhmjzqa

2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32

2021 IEEE Transactions on Neural Networks and Learning Systems  
., +, TNNLS Feb. 2021 748-762 Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach.  ...  ., +, TNNLS June 2021 2610-2621 Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach.  ...  Image coding Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening.  ... 
doi:10.1109/tnnls.2021.3134132 fatcat:2e7comcq2fhrziselptjubwjme

New Developments in Mathematical Control and Information for Fuzzy Systems

Hamid Reza Karimi, Mohammed Chadli, Peng Shi
2013 Mathematical Problems in Engineering  
In this paper entitled "Fuzzy PD control of networked control systems based on CMAC neural network" by L. Huang and J.  ...  Wang, a classifying fuzzy-neural approach, based on the combination of principal component analysis (PCA), fuzzy cmeans (FCM), and back propagation network (BPN), is proposed to estimate the cycle time  ...  Acknowledgments The guest editors would like to thank all the authors of this special issue for contributing the high quality papers, and we hope the reader will share our joy and find this special issue very useful  ... 
doi:10.1155/2013/126878 fatcat:jqd2cnhbrvexnb3uceubjego54
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