Results 111 to 120 of about 16,456 (286)

Robust Bounds on the Eigenvalues of Linear Systems With Delays and Their Applications in Stability Analysis

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT We review some known bounds on the eigenvalues of a matrix and use similar techniques to derive bounds for the class of nonlinear eigenproblems and, as a special case, the eigenvalues for LTI systems with delays. We present two classes of results.
Erik I. Verriest
wiley   +1 more source

Direct Data‐Driven State‐Feedback Control of Linear Parameter‐Varying Systems

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The framework of linear parameter‐varying (LPV) systems has shown to be a powerful tool for the design of controllers for complex nonlinear systems using linear tools. In this work, we derive novel methods that allow us to synthesize LPV state‐feedback controllers directly from only a single sequence of data and guarantee stability and ...
Chris Verhoek   +2 more
wiley   +1 more source

Real‐time Nonlinear Model Predictive Control of a Robotic Arm Using Spatial Operator Algebra Theory

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Nonlinear model predictive control (NMPC) has inherent challenges, such as high computational burden, nonconvex optimization, and the necessity of powerful and fast processors with large memory for real‐time robotics. In this study, a new NMPC strategy is proposed using Spatial Operator Algebra (SOA) theory to address these challenges, and ...
Tuğçe Yaren, Selçuk Kizir
wiley   +1 more source

AI‐Based Autonomous Sailboat Navigation: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina   +6 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

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