...), their major drawbacks (e.g., limited deformation, complex modeling, and low operating frequency) have limited their practical use. Incorporating these alloys into morphing structures increases their deformation profile but also increases the complexity of modeling. Here, continuous shape memory alloy phase...

...Yejiang Yang; Zihao Mo; Weiming Xiang This paper proposes a neural network hybrid modeling framework for dynamics learning to promote an interpretable, computationally efficient method of dynamics learning and system identification. First, a low-level model is trained to learn the system dynamics...

... by comparing the dynamic matrices produced by the proposed method with those from an established dynamic modeling algorithm. Additionally, the trajectory is simulated in an open-source simulator, and the torques extracted from system dynamics are compared with the corresponding simulator torques under the same...

...Wesley Hileman; Michael Scott Trimboli; Gregory Plett We introduce a partial-differential-equation model for rechargeable lithium-metal battery (LMB) cells whose parameter values are fully identifiable from cell-level experiments. From this model, we formulate a computationally tractable transfer...

... linear systems mechatronics modeling motion controls vibration control vibrations National Science Foundation 10.13039/100000001 CMMI 1941194 Several flexible systems such as flexible link manipulators [ 1 , 2 ] and beams under different boundary conditions [ 3 , 4 ] exhibit...

... to develop a WMR (Amarasiri et al., 2022, “Robust Dynamic Modeling and Trajectory Tracking Controller of a Universal Omni-Wheeled Mobile Robot,” ASME Letters Dyn. Sys. Control., 2(4), p. 040902. 10.1115/1.4055690). We study dynamic modeling and controllers for mobile robots to train in a reinforcement...

... invasive surgery operations, robotic rehabilitation/wearable devices, inspection, and surveillance tasks. Unfortunately, the continuous nature of these robotic systems leads to significant modeling and control challenges. Presently, there are various modeling perspectives. However, a detailed review shows...

...Aleksandr Shkoruta; Bumsoo Park; Sandipan Mishra Reliable process control for the laser powder bed fusion process, especially at the melt pool scale, remains an open challenge. One of the reasons for this is the lack of suitable control-oriented models and associated control design strategies...

... this issue, soft robots often have built-in stiffness tuning mechanisms that allow for controlled increases in stiffness. Additionally, redundant pneumatic manipulators can utilize antagonistic pressure to achieve identical positions under increased stiffness. In this paper, we develop a model to predict...

... loading on the structure. For short beams for which 3D effects become prominent, existing local theories based on two-dimensional (2D) fluid approximations are inadequate to predict the dynamic response. We discuss and compare model predictions in terms of frequency response functions, modal shapes...

... in the presence of disturbances in the model. Unlike gradient-based approaches, the Newton algorithm eliminates the need for the unknown Hessian matrix, allowing for user-assignable convergence rates. The Lyapunov-based switched approach also ensures asymptotic convergence to the optimal set point. Simulation...

...Jiamin Xu; Alexander Mathew Keller; Nazli Demirer; He Zhang; Kaixiao Tian; Ketan Bhaidasna; Robert Darbe; Dongmei Chen This paper presents the development and validation of a nonlinear delay differential equation (DDE) model for borehole propagation in the inclination plane. Most importantly, built...

... the wafer and an electrostatic chuck (ESC) and an algorithm of the model predictive control (MPC) combined with an observer. The temperatures are measured only at the wafer edge zone and the ESC ceramic plate that are accessible during the process. The observer estimates wafer temperatures of center...

... associated with computer modeling. 1 Paper presented at the 2023 Modeling, Estimation, and Control Conference (MECC 2023), Lake Tahoe, NV, Oct. 2–5. Paper No. MECC2023-124. This research was supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract...

... both finite element modeling and control-oriented modeling to predict and improve the quality of printed parts. In this paper, we propose a novel control-oriented multi-track melt pool width model that utilizes the superposition principle to account for the complex thermal interactions that occur...

... piezoelectric elastic compliance for PZT s 11 7.68 × 10 −12 m 2 /N Density of PZT ρ 7800 kg/m 3 Considering a Bernoulli beam, the linear and static model of the above piezoelectric bimorph cantilevered actuator can be derived from [ 17 ]: (1) y ( x ) = d u ( x ) ⋅ u...

...Evan Kawamura; Dilmurat Azimov This study aims to analyze three unmanned aerial vehicles’ static and dynamic motor thrust models and to compare them with flight test telemetry motor angular velocity data as ground truth. This comparison determines which model is the most accurate based on the root...

...Manash Chakraborty; Ryan J. Caverly This letter presents a method to model the disturbance environment of a dual-stage hard disk drive (HDD), which is then used to predict the actuator stroke usage (i.e., the range of actuator displacement used) of a closed-loop track-following controller...

... navigation and obstacle avoidance in dynamic environments. The literature on modeling and control of omni-wheel robots usually relies on the kinematic model or simplified kinematic model. Then developing control laws based on these reduced-effect models. In this article, we developed an efficient full...

... conditions, and this may lead to the cavity collapse and degradation of drag reduction. In the present study, a lumped-element model is applied for the analysis of dynamics of the air cavity under a boat hull moving in the presence of sea waves. When the hull accelerates from a low initial speed to a high...