作者:
VANDERHELM, FCTMan-Machine Systems Group
Laboratory for Measurement and Control Department of Mechanical Engineering Delft University of Technology Delft The Netherlands
A finite element musculoskeletal model of the shoulder mechanism consisting of the thorax, clavicula, scapula and humerus has been used for analysis of the kinematic and dynamic behavior. The model includes 16 muscles...
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A finite element musculoskeletal model of the shoulder mechanism consisting of the thorax, clavicula, scapula and humerus has been used for analysis of the kinematic and dynamic behavior. The model includes 16 muscles, three joints, three extracapsular ligaments and the motion constraints of the scapulothoracic gliding plane which turns the shoulder girdle into a closed-chain mechanism. Simulations are inverse dynamic. Input variables are the positions of the shoulder girdle and humerus which have been recorded in 10 subjects during unloaded and loaded humeral abduction and anteflexion. Comparisons of muscle force predictions and EMG recordings are hampered by the unknown force-length relationship and the length dependency of EMG amplitude. It is concluded that EMG amplitude cannot be used for validation of complex musculoskeletal models. Muscle function is analyzed with help of a force and moment balance of the three joints. The moment balance includes the contributions of ligaments and the reaction forces at the scapulothoracic gliding plane. The scapulothoracic gliding plane is very important for the motions and the stabilization of the shoulder girdle. The direction and magnitude of joint reaction forces are calculated as well. It is concluded that the model provides good insight into the mechanics of the shoulder mechanism and that it enables an analysis of the function of morphological structures.
The quantum-mechanical formulation of a class of stochastic optimal control problems is investigated and two versions of non-linear Schrödinger equation are derived. First, a wave-function is introduced which con...
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The quantum-mechanical formulation of a class of stochastic optimal control problems is investigated and two versions of non-linear Schrödinger equation are derived. First, a wave-function is introduced which connects the probability density function of a diffusion process with the minimum cost functional of the stochastic optimal control problem associated with the diffusion process. It is then demonstrated that this wave-function satisfies a kind of Schrödinger-Langevin equation in quantum physics. Finally, the probabilistic interpretation of the wave-function is discussed.
In this paper we consider the problem of allocating multiple resources to a number of clients by a group of heterogeneous agents over time such that the clients can produce products while maximizing a profit function....
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The problem is considered of fitting a stable rational transfer function to complex frequency response data minimizing a weighted maximum amplitude criterion. A solution for this problem is provided in both discrete a...
The problem is considered of fitting a stable rational transfer function to complex frequency response data minimizing a weighted maximum amplitude criterion. A solution for this problem is provided in both discrete and continuous time and for both SISO and MIMO systems by parametrizing the transfer function and solving a smooth nonlinear constrained optimization problem. The denominator is parametrized as a product of first and second-order polynomials. By adding linear constraints on the denominator parameters to the nonlinear programming problem the poles of the curve fit model are restricted to the stability region in the complex plane. To provide an initial estimate for the nonlinear optimization problem an iterative procedure is proposed where, in each step, a linear programming problem has to be solved.
作者:
VANDERHELM, FCTPRONK, GMMan-Machine Systems Group
Laboratory for Measurement and Control Department of Mechanical Engineering and Marine Technology Delft University of Technology Delft The Netherlands
Sometimes a glenohumeral arthrodesis operation is performed at patients with a brachial plexus lesion. In the glenohumeral arthrodesis the humerus is fused to the scapula. The fusion angles between scapula and humerus...
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Sometimes a glenohumeral arthrodesis operation is performed at patients with a brachial plexus lesion. In the glenohumeral arthrodesis the humerus is fused to the scapula. The fusion angles between scapula and humerus determine the restoration of function after the operation. In this study the effect of fusion angles on the hand position and maximal force exertion has been simulated using a musculoskeletal model of the shoulder girdle. Mean scapular and clavicular positions (10 subjects) are used as input variables. Mean fusion angles (18 patients with a glenohumeral arthrodesis) are used as reference position. Output variables are the maximal force which can be exerted with the hand and muscle forces of the thoracoscapular muscles. In order to achieve a mobility area in the mid-sagittal plane, the humerus should be internally rotated 60 degrees with a little abduction and forward flexion. Maximal force can be exerted when the scapula is laterally rotated and protracted beside the thorax. In that position m. serratus anterior has good moment arm to counterbalance the external moment. It is recommended to use an external fixator for the glenohumeral arthrodesis in order to be able to adjust the fusion angles outside the operation theatre.
In this paper a novel sparse Bayesian structure detection algorithm is introduced for the identification of nonlinear autoregressive with exogenous inputs (NARX) dynamic systems. The main advantage of this algorithm o...
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Delays are often present in embedded and networked control loops and represent one of the main sources of performance limitations. In this paper, we propose two aperiodic control strategies to optimize closed-loop per...
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We consider a control loop with several distributed sensor agents. Each sensor measures a subset of the states and broadcasts data to a remote controller and the other sensors according to a threshold-based event-trig...
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Neural networks (NN) have been successfully applied to approximate various types of complex control laws, resulting in low-complexity NN -based controllers that are fast to evaluate. However, when approximating contro...
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