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| 1 | Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks显示文摘In this paper, a data-based fault tolerant control(FTC) scheme is investigated for unknown continuous-time(CT)affine nonlinear systems with actuator faults. First, a neural network(NN) identifier based on particle swarm optimization(PSO) is constructed to model the unknown system dynamics. By utilizing the estimated system states, the particle swarm optimized critic neural network(PSOCNN) is employed to solve the Hamilton-Jacobi-Bellman equation(HJBE) more efficiently.Then, a data-based FTC scheme, which consists of the NN identifier and the fault compensator, is proposed to achieve actuator fault tolerance. The stability of the closed-loop system under actuator faults is guaranteed by the Lyapunov stability theorem. Finally, simulations are provided to demonstrate the effectiveness of the developed method. | Haowei Lin Bo Zhao Derong Liu Cesare Alippi | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，4： | 13 |
| 2 | Precise Agriculture:Effective Deep Learning Strategies to Detect Pest Insects显示文摘Pest insect monitoring and control is crucial to ensure a safe and profitable crop growth in all plantation types,as well as guarantee food quality and limited use of pesticides.We aim at extending traditional monitoring by means of traps,by involving the general public in reporting the presence of insects by using smartphones.This includes the largely unexplored problem of detecting insects in images that are taken in noncontrolled conditions.Furthermore,pest insects are,in many cases,extremely similar to other species that are harmless.Therefore,computer vision algorithms must not be fooled by these similar insects,not to raise unmotivated alarms.In this work,we study the capabilities of state-of-the-art(SoA)object detection models based on convolutional neural networks(CNN)for the task of detecting beetle-like pest insects on nonhomogeneous images taken outdoors by different sources.Moreover,we focus on disambiguating a pest insect from similar harmless species.We consider not only detection performance of different models,but also required computational resources.This study aims at providing a baseline model for this kind of tasks.Our results show the suitability of current SoA models for this application,highlighting how FasterRCNN with a MobileNetV3 backbone is a particularly good starting point for accuracy and inference execution latency.This combination provided a mean average precision score of 92.66%that can be considered qualitatively at least as good as the score obtained by other authors that adopted more specific models. | Luca Butera Alberto Ferrante Mauro Jermini Mauro Prevostini Cesare Alippi | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，2： | 3 |
| 3 | A unique timely moment for embedding intelligence in applications显示文摘 | Cesare Alippi | 2016 | CAAI Transactions on Intelligence Technology2016，1，1： | 2 |
| 4 | SBT Soft Fault Diagnosis in Analog Electronic Circuits:A Sensitivity-based Approach by Randomized Algorithms显示文摘 | Cesare Alippi Marcantonio Catelani Ada Fort | 2002 | IEEE Trans on Instrumentation and Measurement2002，51，5： | 1 |
| 5 | First report of arti- choke downy mildew caused by Bremia lactucae in Ar- gentina 显示文摘 | Carranza M Larran S Alippi H | 2001 | Plant Disease2001，85，： | 1 |
| 6 | Phenotypic and genotypic diversity of Bacillus cereus isolates recovered from honey显示文摘 | L6pez AC Alippi AM | 2007 | International Journal of Food Microbiology2007，117，2： | 1 |
| 7 | FPE-based criteria to dimension feedforward neural topologies显示文摘 | ALIPPI C | 1999 | IEEE Trans on Circuits and Systems I Fundamental Theory and Applications1999，46，8： | 1 |
| 8 | A neural -network based control solution to air-fuel ratio control for automotive fuel - injection systems显示文摘 | Cesare Alippi Cosimo Vincenzo | 2003 | IEEE Transactions on Systems Man and Cybernetics - Part C: Applications and Reviews2003，33，2： | 1 |
| 9 | Energetics and diffusivity of atomic boron in silicon by density-function-based tight-binding simulations 显示文摘 | Alippi P Colombo L Ruggerone P | 2001 | Comp Mater Sci2001，22，： | 1 |
| 10 | Just-in-time adaptive classifierspart II: designing the classifier 显示文摘 | ALIPPI C ROVERI M | 2008 | IEEE Transactions on Neural Networks2008，19，12： | 1 |
| 11 | Accuracy versus complexity in RBF neural networks 显示文摘 | ALIPPI C PIURI V SCOTTI F | 2001 | IEEE Instrumentation and Measurement Magazine2001，4，1： | 1 |
| 12 | A fine control of the air - to - fuel ratio with recurrent neural networks 显示文摘 | Alippi C | 1998 | IEEE Instrumentation and Measurement Technology Conference1998，，： | 1 |
| 13 | Differentiation of Paenibacilluslarvae subsP, larvae, the eause of American foul-- brood of honeybees, by using PCR and Ijestriction fragment analysis ofgenes encoding 1 6S rtlNA显示文摘 | ALIPPI A M LOPEZ A C AGUILAR O M | 2002 | Appl Environ Microbiol2002，68，7： | 1 |
| 14 | An adaptive system for optimal solar energy harvesting in wireless sensor network nodes显示文摘 | Alippi C Galperti C | 2008 | IEEE Transactions on Circuit and Systems I2008，55，6： | 1 |
| 15 | Body Weight Loss during Acute Hypoxia: Effects of Increased Convective Oxygen Transport or Previous Acclimation显示文摘 | LEAL T L ALIPPI R M VARGAS M | 1995 | Aeta Physiol Pharmacol Ther Latinoam1995，45，： | 1 |
| 16 | Growth retardation in the early developing rat exposed to continuous hypobaric hypoxia显示文摘 | ALIPPI R M BARCELO A C RIO M E | 1983 | Acta Physiol Lat Am1983，33，1： | 1 |
| 17 | Mandibular growth retardation in growing rats chronically exposed to hypobaria显示文摘 | BOZZINI C E ALIPPI R M BARCELO A C | 1987 | J Dent Res1987，66，1： | 1 |
| 18 | Failure of polycythemia-induced increase in arterial oxygen content to suppress the anorexic effect of simulated high altitude in the adult rat显示文摘 | NORESE M F LEZON C E ALIPPI R M | 2002 | High Alt Med Biol2002，3，1： | 1 |
| 19 | Endophyticfungi in leaves of Lycopersicon esculentum mill显示文摘 | Larran S Monaco C Alippi HE | 2001 | World Journal of Microbiology & Biotechnology2001，17，： | 1 |
| 20 | A cognitive fault diagnosis system for distributed sensor networks 显示文摘 | Alippi C Ntalampiras S Roveri M | 2013 | IEEE Transactions on Neural Networks and Learning Systen:''2013，24，8： | 1 |
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