This paper concerns with the robust stabilization condition for the polynomial fuzzy system with parametric uncertainties. In the existing methods, nonlinear system with parametric uncertainties was modeled to the T-S...
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This paper concerns with the robust stabilization condition for the polynomial fuzzy system with parametric uncertainties. In the existing methods, nonlinear system with parametric uncertainties was modeled to the T-S fuzzy system. However, these methods has problem such as large number of the fuzzy rule. Therefore, this paper uses the polynomial fuzzy modeling method to manipulate the robust stabilization problem for the parameter uncertain nonlinear system. Furthermore, since new robust stabilization condition is derived from the polynomial Lyapunov function, so the condition is less conservative than previous robust stabilization condition. Finally, numerical example is given to show the validity of proposed method.
This paper addresses the problem of maintaining an autonomous robotic vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The robotic vehicle has no a priori knowle...
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ISBN:
(纸本)9783902823199
This paper addresses the problem of maintaining an autonomous robotic vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The robotic vehicle has no a priori knowledge of the path described by the leaders and its goal is to follow them by constantly regulating the inter-vehicle distances to a desired fixed value, using range-only measurements. To solve this station keeping problem, we propose a control strategy that estimates the formation speed and heading from the ranges obtained to the two leading vehicles, and uses simple feedback laws for speed and heading commands to drive suitably defined common and differential errors to zero. For straight-line motion, we provide guaranteed conditions under which the proposed control strategy achieves local convergence of the distance errors to zero. We also indicate how our design procedure can be extended to full dynamic models of marine robotic vehicles equipped with inner loops for yaw and speed control. Simulation results using realistic models are described and discussed.
This paper investigates stabilizing receding horizon control via an obstacle avoidance navigation function for three-dimensional (3-D) eye-to-hand visual feedback systems. Firstly, a visual motion observer for a contr...
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ISBN:
(纸本)9781467345033
This paper investigates stabilizing receding horizon control via an obstacle avoidance navigation function for three-dimensional (3-D) eye-to-hand visual feedback systems. Firstly, a visual motion observer for a controlled mobile robot is presented. Then, visual motion observer-based stabilizing receding horizon control for 3-D visual feedback systems, highly nonlinear and relatively fast systems, is proposed. Moreover, a path planner to be appropriate for the visual motion error system is designed through an obstacle avoidance navigation function to keep collision-free during servoing. Finally, the effectiveness of the proposed method is verified through computer simulations.
Animals use stochastic search strategies to find a potential nest or to localize the food source. Animals do not rely much on the environmental cues or their sensory inputs. Since their cognitive capabilities are rath...
Animals use stochastic search strategies to find a potential nest or to localize the food source. Animals do not rely much on the environmental cues or their sensory inputs. Since their cognitive capabilities are rather limited, search strategies are usually simplistic and stochastic. And yet such simple search strategies result in high efficiency in finding potential targets in limited time intervals. Similar problems with perception of the environment and limited computational power and sensory inputs are observed on the mobile robots used in search scenarios. In spite of their limitations, such robotic systems usually perform deterministic search strategies which heavily depend on environmental cues and sensory input. The research question we are addressing in this paper is which stochastic search strategy has the best performance in terms of area coverage and can stochastic search strategies outperform deterministic search strategies.
The purpose of this research is to build a real-time flight simulator for quadrotor systems and verify if the simulator runs in real time. The simulator was constructed by writing the mathematical models of quadrotor ...
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The purpose of this research is to build a real-time flight simulator for quadrotor systems and verify if the simulator runs in real time. The simulator was constructed by writing the mathematical models of quadrotor dynamic in MATLAB/Simulink. Using xPC Target software environment, three PCs were set up to work in sync to make the simulation run in real time. This paper shows several simulation results of the quadrotor dynamic in three flight directions. These results validate the stable performance of PD controller being used. At the same time it can be revealed that the simulation runs in real time by observing the percentage processing usage of the computer as function of simulation time. The simulator can be very useful for researchers to understand the character of the quadrotor system being developed and for pilots to complete a mission using the quadrotor system.
This paper provides a new delay-dependent stability criteria for Takagi-Sugeno(T-S) fuzzy systems with interval delay. With a novel Lyapunov functional defined, a tighter upper bound of its derivatives are given. This...
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This paper provides a new delay-dependent stability criteria for Takagi-Sugeno(T-S) fuzzy systems with interval delay. With a novel Lyapunov functional defined, a tighter upper bound of its derivatives are given. This functional leads to simplified and has advantages over some previous one in that it involves fewer matrix variables but has less conservatism. Finally, numerical examples show the resulting criteria outperform all existing ones in the literature.
This short paper presents a preliminary analysis of the impact of model parameter uncertainty on the accuracy of solution algorithms for the scheduling problems with the learning effect. We consider the maximum comple...
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ISBN:
(纸本)9789898565105
This short paper presents a preliminary analysis of the impact of model parameter uncertainty on the accuracy of solution algorithms for the scheduling problems with the learning effect. We consider the maximum completion time minimization flowshop problem with job processing times described by the power functions dependent on the number of processed jobs. To solve the considered scheduling problem we propose heuristic (NEH based) and metaheuristic (simulated annealing) algorithms. The numerical experiments show that NEH and simulated annealing are robust for this problem with respect to model parameter uncertainty.
There is increasing interest in the use of Autonomous Underwater Vehicles (AUVs) to substantially improve the means available for ocean exploration and exploitation. A key element in the operation of certain classes o...
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There is increasing interest in the use of Autonomous Underwater Vehicles (AUVs) to substantially improve the means available for ocean exploration and exploitation. A key element in the operation of certain classes of AUVs is the availability of good underwater positioning systems to localize one or more vehicles simultaneously based on information received on-board a support ship or a set of autonomous surface vehicles. In an interesting operational scenario, the set of autonomous surface vehicles carries a network of acoustic units that measure the elevation and azimuth angles between the target and each of the receivers. Motivated by these considerations, in this paper we address the problem of determining the optimal geometric configuration of an acoustic sensor network at the ocean surface that will maximize the angle-related information available for underwater target positioning. It is assumed that the angle measurements are corrupted by white Gaussian noise, the variance of which is distance-dependent. Using the Cramer-Rao lower bound inequality, the trace of the inverse of the Fisher Information matrix (also called the Cramer-Rao Bound matrix) for the problem at hand is used to determine the sensor configuration that yields the minimum possible covariance of any unbiased target estimator. It is shown that the optimal configuration lends itself to an interesting geometrical interpretation and that the spreading of the sensor configuration depends explicitly on the intensity of the measurement noise and the target depth. Simulation examples illustrate the key results derived.
A difficulty encountered in applying linear parameter-varying (LPV) control is the complexity of synthesis and implementation for large numbers of scheduling parameters. Often, heuristic solutions involve neglecting i...
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ISBN:
(纸本)9781467320658
A difficulty encountered in applying linear parameter-varying (LPV) control is the complexity of synthesis and implementation for large numbers of scheduling parameters. Often, heuristic solutions involve neglecting individual scheduling parameters, such that LPV controller synthesis methods become applicable. However, stability and performance guarantees are rendered void, if a controller design based on an approximate model is implemented on the original plant. In this paper, a posteriori conditions are proposed to assess closed-loop stability and performance and possibly recover guarantees. The controller - synthesized based on a reduced parameter set - is first transformed back to depend on the original parameters. Then analysis is performed with respect to the original plant model, which is considered to be accurate. Moreover, an iterative approach for optimizing controllers with few scheduling parameters is sketched. A two-degrees-of-freedom (2-DOF) robotic manipulator is considered as an illustrative example. Experimental results indicate a significant increase in performance.
This paper investigates passivity-based pose control via an obstacle avoidance navigation function for three-dimensional (3-D) eye-in-hand visual feedback systems. Firstly, visual motion observer-based pose control fo...
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ISBN:
(纸本)9781467324199
This paper investigates passivity-based pose control via an obstacle avoidance navigation function for three-dimensional (3-D) eye-in-hand visual feedback systems. Firstly, visual motion observer-based pose control for 3-D eye-in-hand visual feedback systems is presented. Next, a path planner to be appropriate for the visual motion error system is designed through an obstacle avoidance navigation function to keep collision-free during servoing. Finally, the effectiveness of the proposed method is verified through computer simulations.
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