Adaptive observer design based on scaling and neural networks

Vargas, José A. R.; Gularte, Kevin H. M.; Hemerly, Elder Moreira

doi:10.1109/tla.2013.6601740

Cited by 16 publications

(2 citation statements)

References 24 publications

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“…As redes neurais artificiais (RNAs) parametrizadas linearmente podem ser expressas matematicamente como um vetor de funções básicas, tal como uma função vetorial nãolinear, cujos argumentos são pré-processados por uma função escalar [16].…”

Section: Modelos Neuraisunclassified

Neural Tool Condition Estimation in The Grinding of Advanced Ceramics

Nakai¹,

Guillardi²,

Aguiar³

et al. 2015

IEEE Latin Am. Trans.

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Ceramic parts are increasingly replacing metal parts due to their excellent physical, chemical and mechanical properties, however they also make them difficult to manufacture by traditional machining methods. The developments carried out in this work are used to estimate tool wear during the grinding of advanced ceramics. The learning process was fed with data collected from a surface grinding machine with tangential diamond wheel and alumina ceramic test specimens, in three cutting configurations: with depths of cut of 120μm, 70 μm and 20μm. The grinding wheel speed was 35m/s and the table speed 2.3m/s. Four neural models were evaluated, namely: Multilayer Perceptron, Radial Basis Function, Generalized Regression Neural Networks and the Adaptive Neuro-Fuzzy Inference System. The models' performance evaluation routines were executed automatically, testing all the possible combinations of inputs, number of neurons, number of layers, and spreading. The computational results reveal that the neural models were highly successful in estimating tool wear, since the errors were lower than 4%.

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Section: Modelos Neuraisunclassified

Neural Tool Condition Estimation in The Grinding of Advanced Ceramics

Nakai¹,

Guillardi²,

Aguiar³

et al. 2015

IEEE Latin Am. Trans.

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“…Chaotic and hyperchaotic systems have been used in most diverse contexts, including nonlinear identification [27]- [29], observation and control [30], [31], economy [32], [33], welding [34], [35], and secure communication [11], [21], [36], [37], [39]- [42]. In particular, chaos-based cryptography is a very active research topic in the literature, which is motivated by the pseudo-random behavior observed in chaotic systems.…”

Section: Introductionmentioning

confidence: 99%

Secure Communication Based on Hyperchaotic Underactuated Projective Synchronization

Gularte¹,

Alves²,

Vargas³

et al. 2021

IEEE Access

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This paper proposes a scheme for secure telecommunication based on the projective synchronization of hyperchaotic systems. The design of the synchronizer considers the presence of disturbances to increase the robustness of the method. The main advantage of the proposed approach lies in that only two control inputs are required to synchronize the master and slave systems. Hence, the control structure is simple, which, in turn, simplifies the applications. Based on Lyapunov theory, the proposed approach ensures the finite-time convergence of the synchronization error to a small neighborhood of the origin, even in the presence of disturbances in all states. Simulations to both show the advantages and applications of the proposed approach were also accomplished to validate the theory.

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Neural estimation using a stable discrete-time MLP observer for a class of discrete-time uncertain MIMO nonlinear systems

Khoygani

Ghasemi

2016

Nonlinear Dyn

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Adaptive observer design based on scaling and neural networks

Cited by 16 publications

References 24 publications

Neural Tool Condition Estimation in The Grinding of Advanced Ceramics

Neural Tool Condition Estimation in The Grinding of Advanced Ceramics

Secure Communication Based on Hyperchaotic Underactuated Projective Synchronization

Neural estimation using a stable discrete-time MLP observer for a class of discrete-time uncertain MIMO nonlinear systems

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