In this paper,a new optimization based design method for stabilization of polynomial systems with input constraints is *** method utilizes the sum of squares decomposition of polynomials and results in a nonpolynomial...
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In this paper,a new optimization based design method for stabilization of polynomial systems with input constraints is *** method utilizes the sum of squares decomposition of polynomials and results in a nonpolynomial control law fulfilling amplitude constraints of the *** of input rate constraints can be included by extending the optimization *** resulting sum of squares optimization problems are ***,an iterative algorithm is used to obtain a *** applicability of the method is demonstrated by an example system,for which it turns out that the resulting controller exploits the given amplitude range very well and leads to better control performance than a polynomial controller.
In this article we extend existing results for the passivity-based design of cooperative control laws to systems with arbitrary relative degree. To this end, we exploit the feedback equivalence of strict feedback syst...
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In this article we extend previous results for backstepping and passivity-based design of cooperative control laws to a class of chained form systems that includes certain driftfree nonholonomic *** exploit the cascad...
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In this article we extend previous results for backstepping and passivity-based design of cooperative control laws to a class of chained form systems that includes certain driftfree nonholonomic *** exploit the cascaded structure and feedback equivalence to passive systems to derive suitable control laws using a modified backstepping methodology.A virtual output is obtained and shared within the group in such a way that full state synchronization for the group is *** a static,strongly connected and balanced communication network we prove stability of the proposed ***,an extension to higher order chained forms is shown,providing a methodology to coordinate general nonholonomic *** effectiveness of the method is demonstrated by synchronizing a collective of unicycles.
In this article we extend existing results for the passivity-based design of cooperative control laws to systems with arbitrary relative degree. To this end, we exploit the feedback equivalence of strict feedback syst...
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In this article we extend existing results for the passivity-based design of cooperative control laws to systems with arbitrary relative degree. To this end, we exploit the feedback equivalence of strict feedback systems to passive systems and design the controls based on an alternative backstepping procedure. This results in a virtual output, exchanged by the agents and synchronization of the group. Given a static strongly connected and balanced communication network we prove synchronization of the group with the proposed controller using the Krasovskii-LaSalle invariance principle. The effectiveness of our methodology is illustrated in numerical simulations, solving the rigid body attitude synchronization problem.
In this paper we present an approach for probabilistic motion pattern segmentation. We combine level-set methods for image segmentation with motion estimations based on probability distribution functions (pdf's) c...
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In this paper we present an approach for probabilistic motion pattern segmentation. We combine level-set methods for image segmentation with motion estimations based on probability distribution functions (pdf's) calculated at each image position. To this end, we extend a region based level-set framework to exploit the motion pdf's. We then compare segmentation results of the pdf-based with those of optical-flow-based motion segmentation approaches. We found that the straightforward way of characterizing the segmented region by spatially averaging the motion measurement pdf's does not yield satisfactory results. However, describing the spatial characteristics of the motion pdf's with nonparametric density estimates enables to solve complex motion segmentation problems. In particular for situations with demanding motion patterns like partly overlapping objects and transparent motion, we show that the probabilistic approach yields better results. This confirms the idea that for motion processing it is beneficial to consistently retain the uncertainty and ambiguity of the measurement process right up to the final integration stage, instead of directly processing optical flow vectors.
Robots are complex systems that require multidisciplinary approach to development. Hence, both research and production of a robotic system require a tool that would provide means for coordination between teams with di...
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Robots are complex systems that require multidisciplinary approach to development. Hence, both research and production of a robotic system require a tool that would provide means for coordination between teams with different areas of expertise as well as the ability to integrate, simulate and debug the system in a comprehensive way. Also, with the growing popularity of service robotics, research and modeling of human-machine interaction gains the attention. From a simulation tool, it is expected to support the means for describing this interaction. For that purpose we are investigating the ML Designer TM , not just as a possible simulation tool, but also as a modeling and design paradigm. For verification purposes we will compare it against MATlab Simulink TM . A pneumatic system will be modeled with both tools and a comparison will be performed.
Most algorithms based on Computational Auditory Scene Analysis (CASA) for binaural speech separation do not have the ability to inhibit already localized and for a long time present sources in the auditory scene. This...
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We present a new way of modelling the Precedence Effect to enable the robust measurement of localization cues (ITD and IID) in echoic environments. Based on this we developed a localization system which is inspired by...
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ISBN:
(纸本)9781604234497
We present a new way of modelling the Precedence Effect to enable the robust measurement of localization cues (ITD and IID) in echoic environments. Based on this we developed a localization system which is inspired by the auditory system of mammals. It uses a Gammatone filter bank for preprocessing and extracts the ITD cue via zero crossings (IID calculation is straight forward). The mapping between the cue values and the different angles is learned offline which facilitates the adaptation to different head geometries. The performance of the system is demonstrated by localization results for two simultaneous speakers and the mixture of a speaker, music, and fan noise in a normal meeting room. A real-time demonstrator of the system is presented in [1].
A new method for fast and efficient modeling of nioviiig obstacles in the 3-dimensional configuration-space (c-space) of a multi-link robot is discussed. The method is based on a look-up-Table, which contains the conn...
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