Guaranteed robustness properties of multivariable, nonlinear, stochastic optimal regulators [PDF]
, 1983 The robustness of optimal regulators for nonlinear, deterministic and stochastic, multi-input dynamical systems is studied under the assumption that all state variables can be measured.
Athans, M., Tsitsiklis, J. N.
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High-order volterra model predictive control and its application to a nonlinear polymerisation process [PDF]
, 2005 Model Predictive Control (MPC) has recently found wide acceptance in the process industry, but the existing design and implementation methods are restricted to linear process models. A chemical process involves, however, severe nonlinearity which cannot
C. E. Garcia +10 more
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IoT-Based Heartbeat Rate-Monitoring Device Powered by Harvested Kinetic Energy
SensorsRemote patient-monitoring systems are helpful since they can provide timely and effective healthcare facilities. Such online telemedicine is usually achieved with the help of sophisticated and advanced wearable sensor technologies.
Olivier Djakou Nekui +4 more
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Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm
Entropy, 2018 The maximum complex correntropy criterion (MCCC) has been extended to complex domain for dealing with complex-valued data in the presence of impulsive noise.
Guobing Qian, Dan Luo, Shiyuan Wang
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Study on the ultra-wide band gap characteristics of novel star-shaped chiral metamaterials
Hangkong gongcheng jinzhanThe suppression of vibration and noise has always been an important issue in engineering，and metamaterials have shown significant application value in vibration and noise reduction.
WANG Shuo +7 more
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Micromachines, 2019 The dynamic equations of a four-degree-of-freedom micro gyroscope system were developed considering the nonlinearity of driving stiffness, the primary resonance, and the 1:1 internal resonance.
Mingjiang Han +3 more
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Hard constraints in control state variables of multivariable nonlinear processes resolved by elementary nonlinear decoupling [PDF]
Modeling, Identification and Control, 1998 A model based control strategy for nonlinear multivariable processes having hard constraints on both control and state variables, is derived based upon the concept of Elementary Nonlinear Decoupling (END). In END a property space is defined which has the
Jens G. Balchen, Bjarne Sandrib
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Stability of quantized time-delay nonlinear systems: A Lyapunov-Krasowskii-functional approach [PDF]
, 2009 Lyapunov-Krasowskii functionals are used to design quantized control laws for nonlinear continuous-time systems in the presence of constant delays in the input. The quantized control law is implemented via hysteresis to prevent chattering.
A Isidori +21 more
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Sparse identification of nonlinear dynamics for model predictive control in the low-data limit [PDF]
Proceedings of the Royal Society A, 2017 Data-driven discovery of dynamics via machine learning is pushing the frontiers of modelling and control efforts, providing a tremendous opportunity to extend the reach of model predictive control (MPC). However, many leading methods in machine learning,
E. Kaiser, J. Kutz, S. Brunton
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Controller performance design and assessment using nonlinear generalized minimum variance benchmark : scalar case [PDF]
, 2004 A nonlinear version of the Generalized Minimum Variance (GMV) multivariable control law has been recently derived for the control of nonlinear, possibly time-varying systems.
Grimble, M.J., Majecki, P.M.
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