In this work, we propose a recursive local linear estimator (RLLE) for identification of nonlinear autoregressive systems with exogenous inputs, along with an analysis of its strong consistency and asymptotical mean s...
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The first study with a PID controller based automatic drug delivery system for propofol anesthesia in children is presented. It is shown that a robustly tuned PID controller is capable of delivering safe and adequate ...
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The first study with a PID controller based automatic drug delivery system for propofol anesthesia in children is presented. It is shown that a robustly tuned PID controller is capable of delivering safe and adequate anesthesia. The design process of the control system is reviewed. Results are discussed and compared to those of two previous studies in adults.
We propose a distributed learning algorithm for fair scheduling in common-pool games. Common-pool games are strategic-form games where multiple agents compete over utilizing a limited common resource. A characteristic...
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We propose a distributed learning algorithm for fair scheduling in common-pool games. Common-pool games are strategic-form games where multiple agents compete over utilizing a limited common resource. A characteristic example is the medium access control problem in wireless communications, where multiple users need to decide how to share a single communication channel so that there are no collisions (situations where two or more users use the medium at the same time slot). We introduce a (payoff-based) learning algorithm, namely aspiration learning, according to which agents learn how to play the game based only on their own prior experience, i.e., their previous actions and received rewards. Decisions are also subject to a small probability of mistakes (or mutations). We show that when all agents apply aspiration learning, then as time increases and the probability of mutations goes to zero, the expected percentage of time that agents utilize the common resource is equally divided among agents, i.e., fairness is established. When the step size of the aspiration learning recursion is also approaching zero, then the expected frequency of collisions approaches zero as time increases.
This paper deals with the parameter estimation and the self-tuning regulation of a solar system, which is composed of a solar cell followed by a boost converter. The considered system is described by an input-output s...
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This paper deals with the parameter estimation and the self-tuning regulation of a solar system, which is composed of a solar cell followed by a boost converter. The considered system is described by an input-output stochastic mathematical model at discrete-time, with unknown but constant or slowly time-varying parameters. This parameter estimation is conducted based on the method of prediction error and least squares techniques. The posed regulation problem consists in the development of a self-tuning regulator on the basis of the generalized minimum-variance approach. Thus, a generalized minimum-variance self-tuning regulator is developed. A numerical simulation of the self-tuning regulation of the considered stochastic system is treated.
Therapeutic decision support can be used to promptly assist clinical decision making process. This paper presents a new approach to interpreting multiple data streams in intensive care environments, the resulting mode...
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It is well known that competence in mathematics is essential for controlengineering modules and yet many students do not have the required competence. This paper gives an overview and evaluation of strategies in Shef...
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Recently we developed supervisor localization, a top-down approach to distributed control of discrete-event systems in the Ramadge-Wonham supervisory control framework. Its essence is the allocation of monolithic (glo...
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Recently we developed supervisor localization, a top-down approach to distributed control of discrete-event systems in the Ramadge-Wonham supervisory control framework. Its essence is the allocation of monolithic (global) control action among the local control strategies of individual agents. In this paper, we start by presenting several refinements of our localization theory. First, we drop the original assumption that the event sets of component agents are pairwise disjoint. Second, we show that consistent marking information can be enforced by just one agent, which can be selected arbitrarily. Third, the event sets of localized controllers are explicitly defined, in general as proper subsets of the entire event set. For these generalizations, we again prove that the collective local controlled behavior is identical to the global optimal and nonblocking controlled behavior. We go on to apply supervisor localization to solve a multi-agent formation problem. A suitable formulation of convergence to formations is first introduced; then local strategies are synthesized for a group of agents to arrive at an arbitrarily pre-specified formation, and issues of information exchange and control logic are examined.
Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal soluti...
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While the damping of a common cabin of a commercial vehicle is realized with hydraulic based dampers integrated into the air springs of the suspension, the damping forces of the realized active cabin suspension are ge...
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While the damping of a common cabin of a commercial vehicle is realized with hydraulic based dampers integrated into the air springs of the suspension, the damping forces of the realized active cabin suspension are generated by varying the mass of air inside the air spring volume. To achieve a high bandwidth of vibration suppression, the mass flow of compressed air is controlled using fast switching valves. To design the force controller, the air spring force has to be known for the feedback. Due to the limited design space and to reduce costs, an observer based concept is chosen, utilizing the already available sensor signals for displacement and acceleration. To ensure an accurate and high dynamic force estimation, two nonlinear state estimator concepts are introduced, which are both capable of considering noisy signals as well. The comparison between estimation results and measured signals shows a good correlation. By use of a superimposed vibration control, the cabin accelerations can be reduced by applying optimal damping forces, which is proven by measurements.
This paper is concerned with stabilization of a linear system with distributed input delay and input saturation. Both constant and time-varying delays are considered. In the case that the input delay is constant, unde...
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