The 2014 IEEE International Conference on systems, Man, and Cybernetics is dedicated to Norbert Wiener, the Father of Cybernetics, in honor of the 120th anniversary of his birth.
The 2014 IEEE International Conference on systems, Man, and Cybernetics is dedicated to Norbert Wiener, the Father of Cybernetics, in honor of the 120th anniversary of his birth.
Crowd evacuation has become a primary safety issue in many public places in a metropolitan area. Experts from different fields have worked on modeling and designing evacuating policies by using different tools and met...
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ISBN:
(纸本)9781467357159
Crowd evacuation has become a primary safety issue in many public places in a metropolitan area. Experts from different fields have worked on modeling and designing evacuating policies by using different tools and methods. In this paper, an optimal control approach is used to derive guiding strategies for the rescue agents under different circumstances. Various optimal control problems are formulated to handle different assumptions of the scenario. Both the analytic solutions and the numerical simulation confirm the efficiency of this approach, which in turn can be potentially used as decision-making support in practical applications.
Obtaining initial conditions and parameterizations leading to a model consistent with available measurements or safety specifications is important for many applications. Examples include model (in-)validation, predict...
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ISBN:
(纸本)9781467357159
Obtaining initial conditions and parameterizations leading to a model consistent with available measurements or safety specifications is important for many applications. Examples include model (in-)validation, prediction, fault diagnosis, and controller design. We present an approach to determine inner- and outer-approximations of the set containing all consistent initial conditions/parameterizations for nonlinear (polynomial) continuous-time systems. These approximations are found by occupation measures that encode the system dynamics and measurements, and give rise to an infinite-dimensional linear program. We exploit the flexibility and linearity of the decision problem to incorporate unknown-but-bounded and pointwise-in-time state and output constraints, a feature which was not addressed in previous works. The infinite-dimensional linear program is relaxed by a hierarchy of LMI problems that provide certificates in case no consistent initial condition/parameterization exists. Furthermore, the applied LMI relaxation guarantees that the approximations converge (almost uniformly) to the true consistent set. We illustrate the approach with a biochemical reaction network involving unknown initial conditions and parameters.
As to the high-speed and high-maneuver characteristics of the airspace targets, the method of variable universe fuzzy control is applied to convert the guidance law problem to control problem for designing. In the tra...
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As to the high-speed and high-maneuver characteristics of the airspace targets, the method of variable universe fuzzy control is applied to convert the guidance law problem to control problem for designing. In the traditional variable universe fuzzy control, the adjustable factor is constructed by the form of artificial mathematical functions. In order to introduce artificial intelligence to make the adjustable factor more to adapt to the characteristics of the system. Through the association with dynamic characteristics of the system, an improved adjustable factor is designed, whose adjustable speed and coordination are enhanced. Through the simulation, we test the capability of the corresponding controllers in guidance law, and the ideal result is achieved.
A model predictive control scheme was proposed for discrete-time uncertain linear systems subject to input constraints. The cost functional to be minimised is a finite horizon quadratic cost, which describes the perfo...
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The problem of autonomously steering a vehicle to a destination point, while avoiding obstacles, is considered. The vehicle is modeled as a single-integrator in the plane and it is assumed that the obstacles are unkno...
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ISBN:
(纸本)9781479901777
The problem of autonomously steering a vehicle to a destination point, while avoiding obstacles, is considered. The vehicle is modeled as a single-integrator in the plane and it is assumed that the obstacles are unknown a priori. The control law is an extremum seeking algorithm, which steers the vehicle to the minimum of a navigation function. In this framework, obstacle avoidance and practical uniform convergence to a destination point for almost all initial conditions is proven. The theoretic results are illustrated using numerical examples.
The contribution proposes a control architecture, which enables a multi-link-flexible robot arm under gravitational influence to catch multiple balls sequentially thrown by a human. A net at the end-effector is utiliz...
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The classic "elastic band" deforms a path generated by a global planner with respect to the shortest path length while avoiding contact with obstacles. It does not take any dynamic constraints of the underly...
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The study on artificial intelligence(AI) methods for tuning of particle accelerators has been reported in many *** paper presents tuning method for agent-based controlsystems of transport lines in the case of sensor/...
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The study on artificial intelligence(AI) methods for tuning of particle accelerators has been reported in many *** paper presents tuning method for agent-based controlsystems of transport lines in the case of sensor/actuator *** method uses model-based tracking concept to relax the demand on sensor *** condition for successful operation of the stated scheme is derived,and the concept is demonstrated through simulation by applying it to the model of microtron,transport line-1 and booster of indus *** results show that this approach is very effective in transport line control during sensor/actuator failures.
The dynamic friction in motion systems is mostly not directly measurable and has to be observed for an efficient compensation. A novel feed-forward friction observer (FFFO) is proposed based on the two-state dynamic f...
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