Adaptive digital signal processing Java teaching tool [PDF]
This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to ...
Harteneck, M., Stewart, R.W.
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Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source
Calibrationless Bimanual Deformable Linear Object Manipulation With Recursive Least Squares Filter
In recent years, the domain of robotic manipulation has broadened its focus from rigid objects to more complex tasks involving deformable objects. Compared to rigid bodies, the model-based manipulation of deformable objects requires online adaptation of ...
Amadeusz Szymko +2 more
doaj +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source
A Huber recursive least squares adaptive lattice filter for impulse noise suppression [PDF]
This paper proposes a new adaptive filtering algorithm called the Huber Prior Error-Feedback Least Squares Lattice (H-PEF-LSL) algorithm for robust adaptive filtering in impulse noise environment.
Chan, SC, Zou, Y
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Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
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Round-off error propagation in four generally applicable, recursive, least-squares-estimation schemes [PDF]
The numerical robustness of four generally applicable, recursive, least-squares-estimation schemes is analyzed by means of a theoretical round-off propagation study.
Verhaegen, M. H.
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Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
On-line identification method of time-variable parameter of DC motor
In view of problem that parameters of DC motor such as armature impedance and rotor rotating momentum may change with operating environment and working conditions of the motor, resulting in control failure of the system, an on-line identification method ...
GUO Xinjun, CHEN Suxia
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Takeover Vulnerability and the Discipline of ESG Overinvestment
ABSTRACT While takeovers serve a disciplinary role by replacing inefficient managers, the threat of takeovers may compel firms to divert attention from Environmental, Social and Governance (ESG) efforts as a strategic response to external pressure, especially when such firms are already overinvesting in ESG.
Abongeh Tunyi +2 more
wiley +1 more source

