Národní úložiště šedé literatury Nalezeno 10 záznamů.  Hledání trvalo 0.01 vteřin. 
On a stepladder model walking (with and without a decorator)
Polach, P. ; Prokýšek, R. ; Papáček, Štěpán
This work is related to our previous studies on underactuated biped robot models and has been motivated by the need to implement the previously developed sensor and control algorithms for the real-time movement of the laboratory walking robot, designed and built at the Department of Control Theory of the Institute of Information Theory and Automation of the Czech Academy of Sciences [1, 6, 7]. Underactuated biped robots with an upper body form a subclass of legged robots, see, e.g., [4] for a review on the control of underactuated mechanical systems and [2] for a study of an asymptotically stable walking for biped robots. It is obvious that in general, the walking control of underactuated walking robots is a more challenging problem than walking control of fully actuated walking robots. As follows, we examine the well-known mechanical system of the stepladder model with and without a decorator, whose role is substituted by an external inertial force according to the D’Alembert principle. It is well known, that stepladder walking is possible due to the periodic movement (pendulating) of an operator – decorator1 The rigorous dynamical analysis of stable cyclic walking of a class of stepladder models is presented in the next section.
COMPUTER SIMULATION STUDY OF THE STABILITY OF UNDERACTUATED BIPEDAL ROBOT MODELS (motivated by Griffin and Grizzle, 2017)
Polach, P. ; Anderle, Milan ; Zezula, Pavel ; Papáček, Štěpán
A key feature for bipedal walkers (robots and humans as well) is their stability or disturbance rejection defined as the ability to deal with unexpected disturbances. The paper by Griffin and Grizzle (2017) have significantly contributed to the shift from flat ground to slopes and steps when evaluating the walking efficiency of their robots. Similarly, in this contribution, based on the appropriate model of robot dynamics and control law, we examine the stability of walking-without-falling for different ground perturbations for a threelink compass gait walker. I.e., we perform the sensitivity analysis of the walking stability of underactuated bipedal walker with respect to certain disturbation using the alaska/MultibodyDynamics simulation tool.
Bohl-Marek decomposition applied to a class of biochemical networks with conservation properties
Papáček, Štěpán ; Matonoha, Ctirad ; Duintjer Tebbens, Jurjen
This study presents an application of one special technique, further called as Bohl-Marek decomposition, related to the mathematical modeling of biochemical networks with mass conservation properties. We continue in direction of papers devoted to inverse problems of parameter estimation for mathematical models describing the drug-induced enzyme production networks [3]. However, being aware of the complexity of general physiologically based pharmacokinetic (PBPK) models, here we focus on the case of enzyme-catalyzed reactions with a substrate transport chain [5]. Although our ultimate goal is to develop a reliable method for fitting the model parameters to given experimental data, here we study certain numerical issues within the framework of optimal experimental design [6]. Before starting an experiment on a real biochemical network, we formulate an optimization problem aiming to maximize the information content of the corresponding experiment. For the above-sketched optimization problem, the computational costs related to the two formulations of the same biochemical network, being (i) the classical formulation x˙(t) = Ax(t) + b(t) and (ii) the 'quasi-linear' Bohl-Marek formulation x˙M(t) = M(x(t)) xM(t), can be determined and compared.
TESTING THE METHOD OF MULTIPLE SCALES AND THE AVERAGING PRINCIPLE FOR MODEL PARAMETER ESTIMATION OF QUASIPERIODIC TWO TIME-SCALE MODELS
Papáček, Štěpán ; Matonoha, Ctirad
Some dynamical systems are characterized by more than one timescale, e.g. two well separated time-scales are typical for quasiperiodic systems. The aim of this paper is to show how singular perturbation methods based on the slow-fast decomposition can serve for an enhanced parameter estimation when the slowly changing features are rigorously treated. Although the ultimate goal is to reduce the standard error for the estimated parameters, here we test two methods for numerical approximations of the solution of associated forward problem: (i) the multiple time-scales method, and (ii) the method of averaging. On a case study, being an under-damped harmonic oscillator containing two state variables and two parameters, the method of averaging gives well (theoretically predicted) results, while the use of multiple time-scales method is not suitable for our purposes.
On a class of biped underactuated robot models with upper body: Sensitivity analysis of the walking performance
Papáček, Štěpán ; Polach, P. ; Prokýšek, R. ; Anderle, Milan
Biped underactuated robots with an upper body (being a torso) form a subclass of legged robots. This study deals with the walking performance of such class of legged robot models and has been motivated by the need to implement of the previously developed sensor and control algorithms for the real-time movement of the laboratory walking robot, designed and built at the Department of Control Theory of the Institute of Information Theory and Automation (UTIA) of the Czech Academy of Sciences, see Fig. 1 (left). A detailed description of this underactuated walking-like mechanical system (called further UTIA Walking Robot – UWR) is provided in [2] and [5]. The simplest underactuated walking robot hypothetically able to walk is the so-called Compass gait biped walker, alternatively called the Acrobot, see Fig. 1 (right). For a review of underactuated mechanical systems, i.e. systems with fewer actuators than degrees of freedom, which encounter many applications in different fields (e.g., in robotics, in aeronautical and spatial systems, in marine and underwater systems, and in-flexible and mobile systems), see [3]. As follows, we examine the walking performance of parametrized models for different walking regimes and different values of model parameters. More specifically, the sensitivity analysis (i.e., parameter study) of the walking performance with respect to certain design variables (model parameters) is carried out using the software package alaska/MultibodyDynamics. The main attention is attracted to the role of the upper body mass m3 and position lc3, see Fig. 1 (right). Last but not least, having surveyed the mechanics of planar biped robots, our subsequent goal is the analysis of a 3D biped model where lateral balance is either controlled, suppressed or compensated.
Stochastic dynamics and energetics of biomolecular systems
Ryabov, Artem ; Chvosta, Petr (vedoucí práce) ; Novotný, Tomáš (oponent) ; Papáček, Štěpán (oponent)
Název práce: Stochastická dynamika a energetika biomolekulárních systémů Autor: Artem Ryabov Katedra: Katedra makromolekulární fyziky Vedoucí disertační práce: prof. RNDr. Petr Chvosta, CSc., Katedra makro- molekulární fyziky Abstrakt: Obsahem práce jsou přesně řešitelné modely nerovnovážné stati- stické fyziky. Nejprve je studována prostorově omezená jedno-dimenzionální difúze částic s interakcí typu vyloučeného objemu. Diskutovány jsou otevřené systémy s absorpčními hranicemi a tedy s proměnným počtem částic. Dy- namika jedné vybrané částice a doba jejího záchytu absorpčními hranicemi jsou odvozeny z přesného výrazu pro hustotu pravděpodobnosti pro polohu částice. Hlavními důsledky interakce jsou změny dynamických exponentů, výrazné zpomalení difúzní dynamiky a změny časových škál popisujících proces absorpce ve srovnání s referenčním souborem neinteragujících čás- tic. Druhá část práce je zaměřena na stochastickou termodynamiku malých systémů. V této části je zformulován a přesně vyřešen experimentálně rel- evantní model Brownova pohybu v anharmonickém časově závislém poten- ciálu. Potenciál je složen ze dvou komponent, časově závislé harmonické části a časově nezávislé logaritmické bariéry v počátku souřadnic. Cílem je vypočítat hustotu pravděpodobnosti pro práci vykonanou na částici vnější silou. Pro...
REGULATORY NETWORK OF DRUG-INDUCED ENZYME PRODUCTION: PARAMETER ESTIMATION BASED ON THE PERIODIC DOSING RESPONSE MEASUREMENT
Papáček, Štěpán ; Lynnyk, Volodymyr ; Rehák, Branislav
The common goal of systems pharmacology, i.e. systems biology applied to the eld of pharmacology, is to rely less on trial and error in designing an input-output systems, e.g. therapeutic schedules. In this paper we present, on the paradigmatic example of a regulatory network of drug-induced enzyme production, the further development of the study published by Duintjer Tebbens et al. (2019) in the Applications of Mathematics. Here, the key feature is that the nonlinear model in form of an ODE system is controlled (or periodically forced) by an input signal being a drug intake. Our aim is to test the model features under both periodic and nonrecurring dosing, and eventually to provide an innovative method for a parameter estimation based on the periodic dosing response measurement.
Systems biology analysis of a drug metabolism (with slow-fast. . . )
Papáček, Štěpán ; Lynnyk, Volodymyr ; Rehák, Branislav
In the systems biology literature, complex systems of biochemical reactions (in form of ODEs) have become increasingly common. This issue of complexity is often making the modelled processes (e.g. drug metabolism, XME induction, DDI) difficult to intuit or to be computationally tractable, discouraging their practical use.
Mathematics and Optimal control theory meet Pharmacy: Towards application of special techniques in modeling, control and optimization of biochemical networks
Papáček, Štěpán ; Matonoha, Ctirad ; Duintjer Tebbens, Jurjen
Similarly to other scienti c domains, the expenses related to in silico modeling in pharmacology need not be extensively apologized. Vis a vis both in vitro and in vivo experiments, physiologically-based pharmacokinetic (PBPK) and pharmacodynamic models represent an important tool for the assessment of drug safety before its approval, as well as a viable option in designing dosing regimens. In this contribution, some special techniques related to the mathematical modeling, control and optimization of biochemical networks are presented on a paradigmatic example of enzyme kinetics.
Stochastic dynamics and energetics of biomolecular systems
Ryabov, Artem ; Chvosta, Petr (vedoucí práce) ; Novotný, Tomáš (oponent) ; Papáček, Štěpán (oponent)
Název práce: Stochastická dynamika a energetika biomolekulárních systémů Autor: Artem Ryabov Katedra: Katedra makromolekulární fyziky Vedoucí disertační práce: prof. RNDr. Petr Chvosta, CSc., Katedra makro- molekulární fyziky Abstrakt: Obsahem práce jsou přesně řešitelné modely nerovnovážné stati- stické fyziky. Nejprve je studována prostorově omezená jedno-dimenzionální difúze částic s interakcí typu vyloučeného objemu. Diskutovány jsou otevřené systémy s absorpčními hranicemi a tedy s proměnným počtem částic. Dy- namika jedné vybrané částice a doba jejího záchytu absorpčními hranicemi jsou odvozeny z přesného výrazu pro hustotu pravděpodobnosti pro polohu částice. Hlavními důsledky interakce jsou změny dynamických exponentů, výrazné zpomalení difúzní dynamiky a změny časových škál popisujících proces absorpce ve srovnání s referenčním souborem neinteragujících čás- tic. Druhá část práce je zaměřena na stochastickou termodynamiku malých systémů. V této části je zformulován a přesně vyřešen experimentálně rel- evantní model Brownova pohybu v anharmonickém časově závislém poten- ciálu. Potenciál je složen ze dvou komponent, časově závislé harmonické části a časově nezávislé logaritmické bariéry v počátku souřadnic. Cílem je vypočítat hustotu pravděpodobnosti pro práci vykonanou na částici vnější silou. Pro...

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