Results 131 to 140 of about 20,428,698 (185)

Machine Learning-Empowered Electromagnetic Wave Absorbing Materials: From Forward Prediction to Generative Inverse Design. [PDF]

Molecules
Qi T, Zhou J.
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Bifurcation analysis of small amplitude unidirectional waves for nonlinear Schrödinger equations with fractional derivatives. [PDF]

Sci Rep
Aderyani SR, Saadati R, Abolhassanifar MS, O'Regan D.   +3 more
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Online Bias Estimation for Single-Platform Airborne Radar Using Bias-Subspace Information-Guided MAP-EKF. [PDF]

Sensors (Basel)
Luo J, Guan X, Song C, Zhang H.
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Investigating the wave profiles to the linear quadratic model in mathematical biology. [PDF]

Sci Rep
Younas U, Muhammad J, Ismael HF, Sulaiman TA, Ali MR, Aymen F.   +5 more
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Nonlinear Stochastic Dynamics of the Intermediate Dispersive Velocity Equation with Soliton Stability and Chaos. [PDF]

Entropy (Basel)
Wali S, Munawar M, Abdelkader A, Jhangeer A, Imran M.   +4 more
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Delay-aware chemotherapy dosing via online critic learning. [PDF]

Sci Rep
Rahimi F, Samadi M.
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Nonlinear optical dynamics and complex wave structures in nonlinear dispersive media. [PDF]

Sci Rep
Samina S, Munawar M, Ansari AR, Jhangeer A, Wali S.   +4 more
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Design of infinite horizon LQR controller for discrete delay systems in satellite orbit control: A predictive controller and reduction method approach. [PDF]

Heliyon
Khosravi M, Azarinfar H, Sabzevari K.
europepmc   +1 more source

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Design of a Class of Nonlinear Controllers via State Dependent Riccati Equations

IEEE Transactions on Control Systems Technology, 2004
In this brief, infinite-horizon nonlinear regulation of second-order systems using the State Dependent Riccati Equation (SDRE) method is considered. By a convenient parametrization of the A(x) matrix, the state-dependent algebraic Riccati equation is solved analytically.
A G Alleyne
exaly   +3 more sources

STATE DEPENDENT DIFFERENTIAL RICCATI EQUATION FOR NONLINEAR ESTIMATION AND CONTROL

IFAC Proceedings Volumes, 2002
Abstract State-dependent Riccati equation (SDRE) methods for designing control algorithms and observers for nonlinear processes entail the use of algebraic Riccati equations. These methods have yielded a number of impressive results, however, they can be computationally quite intensive and thus far they have not yielded to those attempting to assess ...
David A. Haessig, Bernard Friedland
openaire   +2 more sources