Abstract In this article a global method for master-slave synchronization of nonlinear systems is provided. Based on a diffeomorphic transformation of the original dynamics, a reduced observer is designed such that th...
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Abstract In this article a global method for master-slave synchronization of nonlinear systems is provided. Based on a diffeomorphic transformation of the original dynamics, a reduced observer is designed such that the nonlinear state feedback law is independent of the inertial frame. Generally, the method requires non trivial computations but leads to global convergence results for the invariant tracking error. We illustrate the design procedure in detail for a master-slave synchronization of a bacterial growth model, which may escape to infinity in finite time.
We propose a new set point tracking controller for plants subject to simultaneous input amplitude and rate constraints. Short settling times are achieved by allowing the controller to saturate. The tracking controller...
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We propose a new set point tracking controller for plants subject to simultaneous input amplitude and rate constraints. Short settling times are achieved by allowing the controller to saturate. The tracking controller can be deduced from a controller stabilizing the origin with an associated domain of attraction. Additionally, no assumptions concerning the rate of the reference signal are necessary.
This paper proposes a new design method for full-order mismatch-based anti-windup compensators applicable to SISO systems. It is based on multiplier theory and path following. In contrast to available approaches the n...
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This paper proposes a new design method for full-order mismatch-based anti-windup compensators applicable to SISO systems. It is based on multiplier theory and path following. In contrast to available approaches the new method allows synthesizing globally stabilizing mismatch-based compensators with enhanced local performance based on small-signal L_(2) gains. A hydraulic actuator serves as an example to demonstrate the effectiveness of the proposed technique.
DisCoverage is a distributed strategy for frontierbased multi-robot exploration. The robots coordinate by a partition of the environment, and choose their target points by optimizing a locally decomposable objective f...
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DisCoverage is a distributed strategy for frontierbased multi-robot exploration. The robots coordinate by a partition of the environment, and choose their target points by optimizing a locally decomposable objective function. In [9] DisCoverage for convex regions was proposed. In this work, we extend DisCoverage to support arbitrary non-convex realworld environments with obstacles. Therefore, we introduce a transformation of non-convex environments to robot centric star-shaped domains. This results in a general solution with broader applications for exploration and path planning. Simulations as well as experiments with real robots demonstrate the exploration progress.
The main aspect in multi-robot exploration is the efficient coordination of a group of robots. Inspired by previous results on the coverage problem, we propose a novel, frontier-based approach for multi-robot explorat...
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In this paper, a computational approach for controller design for polynomial systems with input constraints is proposed. The design is formulated as a convex optimization problem and capable of dealing with asymmetric...
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We propose a new set point tracking controller achieving short settling times respecting for saturating input vectors. One major advantage of the method is that once we designed a controller stabilizing the origin wit...
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ISBN:
(纸本)9781424477456
We propose a new set point tracking controller achieving short settling times respecting for saturating input vectors. One major advantage of the method is that once we designed a controller stabilizing the origin with an associated domain of attraction we are able to state the tracking controller. Additionally, no assumptions concerning the rate of the reference signal are necessary.
In the brain, both neural processing dynamics as well as the perceptual interpretation of a stimulus can depend on sensory history. The underlying principle is a sensory adaptation to the statistics of the input colle...
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ISBN:
(纸本)2930307102
In the brain, both neural processing dynamics as well as the perceptual interpretation of a stimulus can depend on sensory history. The underlying principle is a sensory adaptation to the statistics of the input collected over a certain amount of time, allowing the system to tune its detectors, e.g. by improving the sampling of the input space. Here we show how a generative formulation for the problem of visual motion estimation leads to an online adaptation of velocity tuning that is compatible with physiological sensory adaptation and observed perceptual effects.
In this paper, we present a generic way to use a hierarchical representation of prediction models for adaptive tracking purposes. Each node of the hierarchy consists of an interacting multiple models (IMM) particle fi...
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In this paper, we present a generic way to use a hierarchical representation of prediction models for adaptive tracking. Starting with a basic appearance-based tracker working in 2D retinal space, we show how to combi...
ISBN:
(纸本)2930307102
In this paper, we present a generic way to use a hierarchical representation of prediction models for adaptive tracking. Starting with a basic appearance-based tracker working in 2D retinal space, we show how to combine individual trackers for the left and right eye to a true 3D tracker that is built on top of the 2D trackers. We show how the trackers benefit from the hierarchical structure by dynamical model switching depending on the reliability of the tracking results.
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