Results 101 to 110 of about 10,373,678 (325)
ABSTRACT Hexacopter operations in the atmospheric boundary layer (ABL) are affected by gusty winds and turbulence, leading to collision risks or crashes. Stability of the hexacopter UAV in gusty winds is challenging in urban space. In this paper, non‐singular fast terminal sliding mode control (NFTSMC) is optimized using particle swarm optimization for
Muhammad Ilyas+3 more
wiley +1 more source
Constructing the Lyapunov Function through Solving Positive Dimensional Polynomial System
We propose an approach for constructing Lyapunov function in quadratic form of a differential system. First, positive polynomial system is obtained via the local property of the Lyapunov function as well as its derivative.
Zhenyi Ji+3 more
doaj +1 more source
Distributed Leader‐Following Formation of Discrete‐Time Multi‐Agent LPV Systems
ABSTRACT This paper addresses the leader‐following formation consensus problem for multi‐agent systems (MASs) with agents represented by discrete‐time linear parameter‐varying (LPV) models. The scenario where each agent can be modeled with distinct time‐varying scheduling parameters is investigated with respect to compensation signals.
Paulo S. P. Pessim+4 more
wiley +1 more source
Safety Critical Control of a System With Element‐Wise Estimation of Unknown Time‐Varying Parameters
ABSTRACT This paper presents a method for guaranteeing the safety of a system with time‐varying parameters. First, we extend Dynamic Regressor Extension and Mixing to estimate time‐varying parameters with a finite‐time update rule, and present a bound on the estimation error.
Emil Lykke Diget+2 more
wiley +1 more source
Quasi-solutions, vector Lyapunov functions, and monotone method [PDF]
V. Lakshmikantham+2 more
openalex +1 more source
Deadbeat Robust Model Predictive Control: Robustness Without Computing Robust Invariant Sets
ABSTRACT Deadbeat Robust Model Predictive Control (DRMPC) is introduced as a new approach of Robust Model Predictive Control (RMPC) for linear systems with additive disturbances. Its main idea is to completely extinguish the effect of the disturbances in the predictions within a small number of time steps, called the deadbeat horizon.
Georg Schildbach
wiley +1 more source
Sign changing Lyapunov functions and perturbation of invariant tori of dynamical systems [PDF]
W. L. Kulik
openalex +1 more source
On Continuation and Convex Lyapunov Functions
Final version, 12 pages, to appear in the IEEE Transactions on Automatic ...
Wouter Jongeneel, Roland Schwan
openaire +2 more sources
Data‐Driven Sliding Mode Control for Partially Unknown Nonlinear Systems
ABSTRACT This paper presents a novel data‐driven control framework for multi‐input multi‐output (MIMO) nonlinear systems with partially unknown dynamics and bounded disturbances. In practical scenarios, exact cancellation of system nonlinearities is often infeasible due to limited model information and unpredictable disturbances.
Jianglin Lan+2 more
wiley +1 more source
MIMO Lyapunov Theory-Based RBF Neural Classifier for Traffic Sign Recognition
Lyapunov theory-based radial basis function neural network (RBFNN) is developed for traffic sign recognition in this paper to perform multiple inputs multiple outputs (MIMO) classification.
King Hann Lim+2 more
doaj +1 more source