Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control. [PDF]
Ren S, Wang L, Guan RP.
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A versatile approach is presented for fabricating smart multifunctional textiles by integrating thermo‐fluorescent carbon dot/polymer nanocomposite coatings with 3D‐printed interlocked architectures. The fabrics exhibit temperature‐responsive fluorescence, durable hydrophobicity, strong antibacterial and antioxidant activity, and enhanced UV protection.
Poushali Das +8 more
wiley +1 more source
Feedback control of collective dynamics in an oscillator population with time-dependent connectivity. [PDF]
Rosenblum M.
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Synergistic morphology and feedback control for traversal of unknown compliant obstacles with aerial robots. [PDF]
Aucone E +4 more
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Exploring a Software Framework for Posture Tracking and Haptic Feedback Control: A Virtual Reality-Based Approach for Upper Limb Rehabilitation on the Oculus Quest 2. [PDF]
Dillen J, Moreira AHJ, Vilaça JL.
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The <i>Salmonella</i> pathogenicity island 1-encoded small RNA InvR mediates post-transcriptional feedback control of the activator HilA in <i>Salmonella</i>. [PDF]
Hou Y +5 more
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Correction for Schmickl et al., Integral feedback control is at the core of task allocation and resilience of insect societies. [PDF]
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In many real time control applications, the task periods are typically fixed and worst case execution times are used in schedulability analysis. With the advancement of robotics, flexible visual sensing using cameras has become a popular alternative to the use of embedded sensors. Unfortunately, the execution time of visual tracking varies greatly.
Marco Caccamo +2 more
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We present a control mechanism for tuning a fast-slow dynamical system undergoing a supercritical Hopf bifurcation to be in the canard regime, the tiny parameter window between small and large periodic behavior. Our control strategy uses continuous feedback control via a slow control variable to cause the system to drift on average toward canard orbits.
Joseph, Durham, Jeff, Moehlis
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In this work a new method for designing predictive controllers for linear SISO systems is presented. It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error. The predictive feedback controller is defined by introducing a filter that weights the last w-predicted errors.
Leonardo Giovanini, Michael J. Grimble
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