Results 261 to 270 of about 16,932,162 (348)
Undetected Error Bounds for Hybrid Integrity Protection Using Reed-Muller Codes, Algebraic Manipulation Detection, and Universal Hashing. [PDF]
Shavkatovich BA +9 more
europepmc +1 more source
Sliding Motions on Non‐Euclidean State Spaces: A Differential‐Geometric Perspective
ABSTRACT This paper extends sliding‐mode control theory to nonlinear systems evolving on smooth manifolds. Building on differential geometric methods, we reformulate Filippov's notion of solutions, characterize well‐defined vector fields on quotient spaces, and provide a consistent geometric definition of higher‐order sliding modes.
Fernando Castaños
wiley +1 more source
Parametric Factorization of Matrices. [PDF]
Huang G, Kutzschebauch F.
europepmc +1 more source
Complex Pisot numbers in algebraic number fields
M. Bertin, Toufik Zaïmi
semanticscholar +1 more source
ABSTRACT The increasing integration of distributed energy resources demands enhanced coordination between transmission system operators (TSOs) and distribution system operators (DSOs) to maintain reliable grid operation. Traditional approaches rely on hierarchical or distributed optimization schemes for power flow management, but these methods either ...
Janis Adamek +4 more
wiley +1 more source
From Schreier graphs to secure s-boxes using a group-theoretic design framework. [PDF]
Razaq A +4 more
europepmc +1 more source
ABSTRACT Safety‐critical control remains a major challenge for four‐wheel independently steered and driven (4ISD) mobile robots, where high‐accuracy path tracking and obstacle avoidance must be achieved under over‐actuated steering–driving coordination, tire–ground friction limits, and wheel‐torque constraints.
Ruitong Liu, Kenji Hashimoto
wiley +1 more source
Going with the flow to solve for symmetry-driven PDE dynamics with physics-informed neural networks. [PDF]
Kavousanakis ME +5 more
europepmc +1 more source
Tensor‐Based Reduction of Linear Parameter‐Varying State‐Space Models
ABSTRACT The linear parameter‐varying (LPV) framework is a powerful tool for controlling nonlinear (NL) and complex systems, but the conversion of NL models into LPV forms often results in high‐dimensional and overly conservative LPV models. To be able to apply control strategies, there is often a need for model reduction in order to reduce ...
Bogoljub Terzin +4 more
wiley +1 more source
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source

