In case of energy storage air conditioning system, due to load fluctuation, the traditional control methods can't obtain good effect, the model predictive control method can realize the optimization control system...
详细信息
In this paper the control of a platoon with a nonlinear controller under event-triggered communication is investigated. The proposed nonlinear controller is a predecessor-following controller for a certain class of no...
详细信息
In this paper the control of a platoon with a nonlinear controller under event-triggered communication is investigated. The proposed nonlinear controller is a predecessor-following controller for a certain class of nonlinear functions. For the event-triggered communication scheme every agent decides based on its own state when it transmits its state information. Therefore, a trigger rule is designed that guarantees exponential convergence of the state error while it excludes Zeno behavior. The results are extended to allow heterogeneous trigger rules under certain conditions. Furthermore the case of heterogeneous controllers is analyzed and exponential convergence and exclusion of Zeno behavior is still guaranteed. The theoretical results of the paper are supported by numerical simulations.
This paper studies the problems of stabilization of discrete-time linear systems with a single input delay. By developing the methodology of pseudo-predictor feedback(PPF) which uses the(artificial) closed-loop system...
详细信息
ISBN:
(纸本)9781467374439
This paper studies the problems of stabilization of discrete-time linear systems with a single input delay. By developing the methodology of pseudo-predictor feedback(PPF) which uses the(artificial) closed-loop system dynamics to predict the future state, memoryless state feedback control laws are constructed to solve the problem. Necessary and sufficient conditions are obtained to guarantee the stability of the closed-loop system in terms of the stability of a class difference equations. It is also shown that the proposed controller achieves semi-global stabilization of the system if its actuator is subject to either magnitude saturation or energy constraints under the condition that the open-loop system is only polynomially unstable. Numerical examples show the effectiveness of the proposed approaches.
In this paper, we propose a self-triggered estimator for discrete-time linear systems subject to unknown but bounded disturbances affecting both the system states and outputs. The proposed self-triggered estimator is ...
详细信息
ISBN:
(纸本)9781479978878
In this paper, we propose a self-triggered estimator for discrete-time linear systems subject to unknown but bounded disturbances affecting both the system states and outputs. The proposed self-triggered estimator is a set-valued estimator that employs rollout techniques to reduce the communication between the sensors and the estimator with respect to a periodic sampling strategy. Moreover, at each time instant it provides an estimate of the plant state and a guaranteed bound on the difference between the true plant state and the estimate.
Mathematical models of the radiofrequency ablation enable to plan, monitor and control interventions allowing to predict and improve their outcome. A system of coupled partial differential equations suitable for plann...
详细信息
Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of th...
详细信息
Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of the plant can be measured, the NMPC scheme must be robust to plant uncertainties and to estimation errors. Different robust NMPC strategies have been proposed to deal with these uncertainties. Among them, a multi-stage NMPC, which is based upon a scenario tree of future plant evolutions, is less conservative compared to worst-case open-loop approaches because the presence of feedback at future sampling instants is explicitly considered. In multi-stage output feedback NMPC, additional scenarios are created by sampling the innovations that are used to estimate the future states of the plant along the scenario tree. In this paper, we refine our previously published approach to include state estimation errors. Moreover we extend the scheme to guarantee robust constraint satisfaction by calculating reachable sets using Taylor models. The method is demonstrated for a nonlinear chemical process example.
We study submanifold stabilization problems from an input-output perspective. For doing so, we consider feedback interconnections of relations of signals whose squared distance to a given submanifold has finite integr...
详细信息
ISBN:
(纸本)9781479978878
We study submanifold stabilization problems from an input-output perspective. For doing so, we consider feedback interconnections of relations of signals whose squared distance to a given submanifold has finite integral. In our framework, output feedback passivity of the feedforward relation and input strict passivity of the feedback relation with sufficiently large excess of passivity, both with respect to the integral squared distance of their signals to the submanifold under consideration, is sufficient for submanifold stabilization. We show that the distance of the signals in the feedback interconnection to the submanifold remains bounded for bounded exogenous inputs, thus extending the feedback theorem for passive systems to submanifold stabilization problems.
In this paper, we consider the distributed robust filtering problem, where estimator design is based on a set of coupled linear matrix inequalities (LMIs). We separate the problem and show that the method of multiplie...
详细信息
The paper deals with a modelling of the energy consumption of industrial articulated robots. The proposed modelling way is based on graphically-oriented computer-aided concept that exploits CAD software Solidworks and...
详细信息
ISBN:
(纸本)9781479999767
The paper deals with a modelling of the energy consumption of industrial articulated robots. The proposed modelling way is based on graphically-oriented computer-aided concept that exploits CAD software Solidworks and simulation environment MATLAB/Simulink with SimMechanics and SimPowerSystems libraries. These software tools are used for the composition of a dynamical simulation model that represents both mechanical robot structure and robot drives during robot motions. The paper addresses mathematical analysis and interpretation of the considered simulation model. Here, equations of the motion for the mechanical robot structure and appropriate dynamical equations of the robot drives are introduced. Using these equations, the energy consumption equation is defined. The proposed way is demonstrated by simulation experiments for several different velocities of the robot motion along a selected trajectory. For the experiments, industrial articulated robot KUKA KR 5 arc driven by PMSM drives is considered.
Link elasticity is commonly understood to be a detrimental side-effect of imperfect mechanical designs of robotic arms and comparable machinery. In contrast to this notion, this paper demonstrates a novel approach to ...
详细信息
Link elasticity is commonly understood to be a detrimental side-effect of imperfect mechanical designs of robotic arms and comparable machinery. In contrast to this notion, this paper demonstrates a novel approach to exploit intrinsic robot link compliance in order to estimate a priori unknown payload masses, measure and also control end effector forces. In this way, the intrinsic link elasticity can be seen as an enabler for new sensing and control capabilities instead of a purely detrimental effect.
暂无评论