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Modeling and simulation of adaptive cruise control system [article]

Yuncheng Jiang
2020 arXiv   pre-print
Simulation is conducted and results show the advantages of using time varying parameter linear quadratic regulator over other controller discussed in this paper.  ...  In this report, linear quadratic regulator is used to design adaptive cruise control system. In the regulator, Q and R parameters vary with time according to current traffic situations.  ...  Mathematically, the design purpose is to regulate the states of the system to the equilibrium state = [0,0,0] .  ... 
arXiv:2008.02103v1 fatcat:fxomszur4jhktinit4dpsd4riy

Energy Management for Internet of Things via Distributed Systems

Mohammed Mohammed sadeeq, Subhi Zeebaree
2021 Journal of Applied Science and Technology Trends  
This article discusses a literature and policy analysis that looks at the role of energy management system aggregators and the end-users participating in subsidiary systems within Smart Grid programmers  ...  The participation of end-users could influence the management of the system and the volatility of energy prices.  ...  Lasso-Lopez et al.  ... 
doi:10.38094/jastt20285 fatcat:qlenqhf3pbfs3b2ibwxos4qawm

Exploring the Predictability of Temperatures in a Scaled Model of a Smarthome

Thomas Burns, Gregory Fichthorn, Jason Ling, Sharare Zehtabian, Salih S. Bacanli, Ladislau Bölöni, Damla Turgut
2021 Sensors  
In modern smarthomes, temperature regulation is achieved through a mix of traditional and emergent technologies including air conditioning, heating, intelligent utilization of the effects of sun, wind,  ...  As experimentation on real-world homes is highly expensive, we use ScaledHome, a 1:12 scale, IoT-enabled model of a smart home for data acquisition.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21186052 pmid:34577257 pmcid:PMC8471077 fatcat:vqt4k2zcbbbcnj3g47ef4e5cza

Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments [article]

B. Svetozarevic, C.Baumann, S. Muntwiler, L. Di Natale, M. Zeilinger, P. Heer
2021 arXiv   pre-print
similar comfort levels compared to a conventional RB room temperature controller over three weeks during the heating season.  ...  The learnt policy achieves on average 17% energy savings over the heating season and 19% better comfort satisfaction than a standard RB room temperature controller.  ...  Declaration of competing interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper  ... 
arXiv:2103.01886v2 fatcat:n5gtr526pnf7dgki3smo4xbmzm

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Omar Bougacha, Christophe Varnier, Noureddine Zerhouni
2021 International Journal of Prognostics and Health Management  
This paper reviews in the literature about the different aspects of decision-making in the context of PHM.  ...  process is based on three processes: the data acquisition and health assessment process in which sensors signals are acquired and processed, the diagnostic and prognostic process in which the source of  ...  The importance of those interactions offers a promising field of research in prognostics and health management.  ... 
doi:10.36001/ijphm.2020.v11i2.2928 fatcat:ljchziptpvcark32jpxkf6qlg4

2013 Index IEEE Transactions on Automatic Control Vol. 58

2013 IEEE Transactions on Automatic Control  
Hariharan, S., +, TAC June 2013 1416-1429 Data mining Online Homotopy Algorithm for a Generalization of the LASSO.  ...  ., +, TAC Feb. 2013 435-448 A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals.  ... 
doi:10.1109/tac.2013.2295962 fatcat:3zpqog4r4nhoxgo4vodx4sj3l4

Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems [article]

Giorgos Mamakoukas, Maria L. Castano, Xiaobo Tan, Todd D. Murphey
2021 arXiv   pre-print
of the system states.  ...  The efficacy of the approach is further demonstrated with simulation and experimental results on the control of a tail-actuated robotic fish.  ...  Fig. 6 : 6 Tail-actuated robotic fish used in experiments, developed by the Smart Microsystems Lab at Michigan State University. It maneuvers in water by oscillating its tail fin.  ... 
arXiv:2010.05778v2 fatcat:eqv2naaor5fcle7sowngy4kxl4

Context Aware Control Systems: An Engineering Applications Perspective

Ricardo Alfredo Cajo Diaz, Mihaela Ghita, Dana Copot, Isabela Roxana Birs, Cristina Muresan, Clara Ionescu
2020 IEEE Access  
Urban Planning The concept of context awareness is integrated in smart homes system usually by IoT sensor network.  ...  Renewable energy integration remains challenging due to stochastic nature of supply and demand in smart grid systems [132] .  ...  Currently, her research interests focus on novel tools for modeling and control of dynamical systems with fractional calculus tools.  ... 
doi:10.1109/access.2020.3041357 fatcat:774abyybrbb4hcxtfepj2xngd4

Modern Koopman Theory for Dynamical Systems [article]

Steven L. Brunton, Marko Budišić, Eurika Kaiser, J. Nathan Kutz
2021 arXiv   pre-print
all possible measurement functions of the system.  ...  Koopman spectral theory has emerged as a dominant perspective over the past decade, in which nonlinear dynamics are represented in terms of an infinite-dimensional linear operator acting on the space of  ...  Fig. 6 . 4 : 64 Fig. 6.4: Tail-actuated robotic fish (top left corner) developed by the Smart Microsystems Lab at Michigan State University for trajectory tracking using Koopman LQR (top row) and backstepping  ... 
arXiv:2102.12086v2 fatcat:2oylyx25dbctvkjfnirfcgjuqu

Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

Ioannis Antonopoulos, Valentin Robu, Benoit Couraud, Desen Kirli, Sonam Norbu, Aristides Kiprakis, David Flynn, Sergio Elizondo-Gonzalez, Steve Wattam
2020 Renewable & Sustainable Energy Reviews  
Acknowledgements The authors would like to acknowledge the support of the Energy Technology Partnership Scotland (ETP) through their Industry Doctorates scheme and our industrial sponsor Upside Energy.  ...  The evolution of power systems, driven by an increasing penetration of DER, calls for new solutions to address the technical challenges of a smart grid (mainly frequency and local voltage regulation).  ...  On top of that, these strategies will rely on the implementation of smart algorithms based on AI solutions to achieve an efficient regulation of the demand without severally affecting the end-users comfort  ... 
doi:10.1016/j.rser.2020.109899 fatcat:wgpj4awq35dfzdq7ugumtrvo7q

Efficient Learning of Distributed Linear-Quadratic Controllers [article]

Salar Fattahi and Nikolai Matni and Somayeh Sojoudi
2019 arXiv   pre-print
robust and near optimal performance of the designed controller can be significantly smaller than the dimension of the system.  ...  In particular, we provide sharp end-to-end guarantees on the stability and the performance of the designed distributed controller and prove that for sparse systems, the number of samples needed to guarantee  ...  Examples of such distributed systems include intelligent transportation systems and cities, smart grids, and distributed sensor networks.  ... 
arXiv:1909.09895v2 fatcat:4pqdon75trdz7nug5m5qw3c5au

Learning to Control Home Batteries in the Smart Grid

Baihong Qi
Modern residential buildings are complex cyber-physical systems housing energy systems with numerous sensors and actuators.  ...  This thesis aims to investigate how to model the solar-plus-battery system and the stochastic environment, and how to design learning-based control policies for operating batteries in the smart grid to  ...  Being a student of him is one of the most valuable  ... 
doi:10.7939/r3-gnc5-1c07 fatcat:h6iun335jrd25exov5mvigzlku

Table of Contents

2021 2021 40th Chinese Control Conference (CCC)   unpublished
WU Yanzhi, LIU Lu 5626 Fully Distributed Event-triggered Cooperative Output Regulation of Linear Parameter-varying Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  WANG Yifeng, ZHAO Guanglei, ZHU Lingchen, LIU Shuang 4798 Scale-free Design for Delayed Regulated Synchronization of Discrete-time Heterogeneous Multiagent Systems Subject to Unknown Non-uniform and Arbitrarily  ... 
doi:10.23919/ccc52363.2021.9550117 fatcat:55y7a2gagfhtpc6llmfvl7gqpm

The digitalization of energy systems: towards higher energy efficiency

Marina Dorokhova
Specifically, we conduct the research within the designed ICT-based smart building and smart community frameworks, the modular structure and scalability of which can serve as a backbone for future implementations  ...  Benchmarking against rule-based and model predictive control demonstrates RL's superior computational performance and better fitness for future mobility systems.  ...  Thank you for making the systems group an enjoyable working environment.  ... 
doi:10.5075/epfl-thesis-9328 fatcat:dcgqemalobevbc6rjx5tdcz2ju

One-pot synthesis of hyperbranched polyamines based on novel amino glycidyl ether

Gyunhyeok Ahn, Songa Kweon, Chungmi Yang, Ji Eun Hwang, Kyuseok Kim, Byeong-Su Kim
2017 Journal of Polymer Science Part A: Polymer Chemistry  
We present a recently developed, universal approach for the preparation of a new class of protein-based nanoparticles for the delivery of therapeutics.  ...  Our method allows the use of solvent evaporation techniques for the formation of stable nanoparticles without denaturation or crosslinking of the proteins.  ...  optical properties, etc.) in a controlled way making a perfect candidate for actuators, sensors or vehicles for drug delivery systems.  ... 
doi:10.1002/pola.28865 fatcat:r5jaobn7tzg7rojmelsdnr5v2u
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