1,721,039 research outputs found
Stability analysis of an hybrid control scheme based on discrete–event automata and receding–horizon neural regulators
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A receding-horizon multiple model based control scheme for nonlinear systems
No full textA multiple model based nonlinear control scheme for nonlinear discrete-time systems is considered. A set of optimal receding-horizon feedback control functions is defined, based on a description of the nonlinear plant by means of interpolation of a set of local models, using a family of nonlinear validity functions. To obtain the control law to be applied to the plant, interpolation of the local control actions is done, using the same validity function family. This choice allows to carry out the stability analysis of the equilibrium of the multiple model control scheme
Stable multi-model switching control of a class of nonlinear systems
No full textThe objective of the paper is the design of a stabilizing switching control scheme for a class of nonlinear systems. Such systems are relevant to nonlinear plants represented by means of a finite set of nonlinear discrete-time models. A finite set of receding-horizon control laws is defined for each of the nonlinear discrete-time models representing the plant. A rigorous stability analysis is carried out yielding the-oretical constraints to be satisfied by the switching strategies to guarantee stability properties. Simulation results on a case study of practical relevance are also presented showing the effectiveness of the multi-model switching control scheme
Hybrid receding–horizon control: formulation and stability analysis
No full textThe stability analysis of an hybrid receding-horizon control scheme for non-linear discrete-time systems is addressed in the paper. The control scheme is composed of a continuous state-feedback controller and a discrete-event supervisor. Such a structure is further embedded into the structure of abstract hybrid systems. This allows to exploit the general stability theory for abstract hybrid systems to prove a novel stability result for the proposed hybrid control scheme
Stable hybrid control based on discrete-event automata and receding-horizon neural regulators
No full textA hybrid control scheme for nonlinear discrete-time systems is addressed. Such a scheme is composed of two control levels: a continuous level characterized by a finite set of neural receding horizon feedback control laws, and a discrete-event level aimed at choosing the best control action to be applied to the plant, depending on the current system conditions and on external events that may have occurred. The two-level scheme presents two major innovative aspects: first, a new class of hybrid automata, namely, discrete-time discrete-event automata, is used for the modeling of the proposed hybrid control scheme. Secondly, receding-horizon regulators are used that are based on neural approximators, at the continuous level. In the paper, the stability analysis of the proposed hybrid control system is carried out, and its practical applicability is shown for a case study relevant to traffic control on freeways. The example is very significant, if one takes into account the complexity of the considered transportation system and also the fact that the
reported simulation results are based on real-traffic data, and hence they well represent critical traffic conditions on freeways
Practically stable nonlinear receding-horizon control of multi-model systems
No full textThe objective of the paper is the design of a stabilizing switching control scheme for a class of nonlinear systems. Such systems are characterized by means of a finite set of nonlinear discrete-time models and for each model a finite set of receding-horizon nonlinear control laws is defined. This highlights a major feature of the considered class of switched systems with respect to previous works, namely, the possibility of switching both between different system models and between different controllers. Some practical stability concepts are then introduced and compared with classical stability definitions. The analysis of the different stability properties is carried out yielding theoretical constraints to be satisfied by the switching strategies in order to guarantee stable modes of behavior of the multi-model switched system. Some simulation results are finally reported showing the effectiveness of the proposed control scheme
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