1,721,061 research outputs found
Robust feedback design for nonlinear systems: A survey
No full textA survey is conducted regarding the need for robust feedback design for nonlinear systems. A key central problem in control theory is the design of feedback controllers so as to have certain outputs of a given plant to track prescribed reference trajectories. This control goal has to be achieved in spite of a good number of phenomena that will cause the system to behave differently from that expected in any realistic scenario. The problem has been found to cover a large number of major problems in feedback design. A problem of significant importance in analysis and design of feedback systems is the problem of determining the asymptotic properties of a system consisting of the interconnection of several parts, knowing the asymptotic properties of each individual component
A tool for semiglobal stabilization of uncertain non-minimum-phase nonlinear systems via output feedback,
No full text
Stabilizability by state feedback implies stabilizability by encoded state feedback
No full textEncoded state feedback is a term which refers to the situation in which the state feedback signal is sampled every T units of time and converted (encoded) into a binary representation. In this note stabilization of nonlinear systems by encoded state feedback is studied. It is shown that any nonlinear control system which can be globally asymptotically stabilized by “standard” (i.e. with no encoding) state feedback can also be globally asymptotically stabilized by encoded state feedback, provided that the number of bits used to encode the samples is not less than an explicitly determined lower bound. By means of this bound, we are able to establish a direct relationship between the size of the expected region of attraction and the data rate, under the stabilizability assumption only, a result which—to the best of our knowledge—does not have any precedent in the literature.
Nonlinear internal models for output regulation
No full textIn this note, we show how nonlinear internal models can be effectively used in the design of output regulators for nonlinear systems. This result provides a significant enhancement of the nonequilibrium theory for output regulation, which we have presented in a recent paper
A control-engineering approach to traffic control in wireless networks
No full textThe paper deals with the problem of guaranteeing a target QoS (Quality of Service) to connections set-up over wireless IP (Internet Protocol) networks, while efficiently exploiting the air interface(1). In the literature, this problem is coped with congestion control and traffic scheduling algorithms: congestion control deals with the problem of computing the traffic relevant to in progress connections which can be admitted into the wireless network without causing the infringing of the QoS, while the scheduling deals with the problem of deciding the priorities for the transmission of the admitted traffic over the air interface. Aiming at solving the above-mentioned problem following a control based approach, the paper presents an original and simple controller which steers the overall system towards an ideal equilibrium at which desirable performance is achieved. The controller is also in charge of periodically updating this ideal equilibrium, which is a function of the IP traffic presently offered to the wireless network
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