This paper presents a novel decoupling method for multivariable systems with disturbances. In this method, the undesirable coupling parts in each loop are treated as the output disturbances. These disturbances, as wel...
详细信息
The paper presents a collision mitigation method in which the aim is to stabilize the motion of the vehicle after a light impact has occurred. A yaw rate servo control based on the bicycle model is applied for control...
详细信息
ISBN:
(纸本)9789633131022
The paper presents a collision mitigation method in which the aim is to stabilize the motion of the vehicle after a light impact has occurred. A yaw rate servo control based on the bicycle model is applied for control purposes. The collision is assumed to have been detected by a passive safety system, e.g., airbag sensors. The control system is activated by the monitoring signal. After the collision has occurred the motion of the vehicle and the operation of the control system are illustrated through CarSim simulation examples. Two control solutions are analyzed: in the first case active steering is used while in the second case steering is combined with differential braking. With the knowledge of certain vehicle parameters and the impact force and direction, post impact vehicle states (yaw rate, velocities, roll rate) can be analyzed. A sensitivity analysis is carried out to determine the validity range of the vehicle model in the presence of uncertainties and different kinds of impact forces. Several software packages are used for the design and analysis of the controlled system. The control design is performed by using the Matlab/Simulink software and the verification of the designed controller is performed by using the CarSim software.
This paper is focused on a comparison between Model-Free control and Active Disturbance Rejection control methods. These two techniques do not require a detailed mathematical description of the system, since they base...
详细信息
This paper is focused on a comparison between Model-Free control and Active Disturbance Rejection control methods. These two techniques do not require a detailed mathematical description of the system, since they base on the on-line estimation and rejection of the unmodeled elements of the dynamics. Robustness of the closed-loop control system (against external perturbation) and its relation to energy consumption is discussed here. A model of a planar manipulator is used in the conducted case study as an exemplary plant. Conclusions are supported with results obtained with numerical simulations.
The concept of control of plants represented by (1) has been proposed. Using (2),(3),(4),(5) one can determine plant input U(t) forming its output as Y(T), where “new” time T depending on time-scale A(t) is defined ...
详细信息
The concept of control of plants represented by (1) has been proposed. Using (2),(3),(4),(5) one can determine plant input U(t) forming its output as Y(T), where “new” time T depending on time-scale A(t) is defined by dT=A(t) dt, whereas Y(t) is plant “reference” output obtained for A=1. Signal A(t) is obtained as result of static operation A(t)=q(e(t)), where q(0)=0 and e(t) is control system error. The technical applications can base on MFC structure (Fig. 4). The idea of control is simple: if e(t)=A(t)=0, then model (2) is decoupled, values of its state variables and output y are conserved. Because Y follows y (Fig. 4), then changes of plant output are stopped too. If e(t)=A(t) ≠0, then y and Y tend to reference signal y o and rate of follow-up action depends on q(e(t)). During this process the consecutive outputs of model and plant are y(T) and Y(T). Thus, the “reference” response Y(t) defines Y (T). The impressive results illustrating properties of proposed concept are shown in Fig. 5,6. Application of described method simplifies the analysis of system dynamics and yields perfect results of follow-up action (lack of overshoots, short setting times). The idea for SISO case has been generalized to form enabling control of MIMO plants.
Recently, object tracking has been widely studied as a binary classification problem. Semi-supervised learning is particularly suitable for improving classification accuracy when large quantities of unlabeled samples ...
详细信息
This paper investigates the problem of stability for a class of linear uncertain Markovian jump systems over networks via the delta operator approach. The sensor-to-controller random network-induced delay and arbitrar...
详细信息
In this paper we present predictive self-programming thermostat which controls the heating of a smart environment based on occupancy prediction. We present results of 290 days-long simulation as well as limits of simi...
详细信息
In this paper we present predictive self-programming thermostat which controls the heating of a smart environment based on occupancy prediction. We present results of 290 days-long simulation as well as limits of similar systems for energy savings.
This paper presents a challenging industrial benchmark for implementation of control strategies under realistic working conditions. The developed control strategies should perform in a plug & play manner, i.e. ada...
详细信息
This paper focuses on the structure identification problem for a class of networked systems, where the interaction among components or agents is described through logical maps. In particular, agents are heterogeneous ...
详细信息
ISBN:
(纸本)9781467320658
This paper focuses on the structure identification problem for a class of networked systems, where the interaction among components or agents is described through logical maps. In particular, agents are heterogeneous cooperating systems, i.e. they may have different individual dynamics and different interaction rules depending on input events. While we assume that the individual agents' dynamics are known, each agent has partial knowledge of the logical map encoding the interaction of another agent with its neighbors. Based on the so-called algebraic normal form for binary functions, we present a technique by which the network structure described by a logical function can be dynamically estimated as its truth table is observed. The estimated map is a lower approximation of the real one, which coincides with it as soon as the truth table is entirely observed. Application of the proposed technique to a real system, where agents are mobile robots whose motion depends on logical conditions on their neighborhood, is finally presented.
We deal with the design problem of minimum entropy ℋ ∞ filter in terms of linear matrix inequality (LMI) approach for linear continuous-time systems with a state-space model subject to parameter uncertainty that belo...
We deal with the design problem of minimum entropy ℋ ∞ filter in terms of linear matrix inequality (LMI) approach for linear continuous-time systems with a state-space model subject to parameter uncertainty that belongs to a given convex bounded polyhedral domain. Given a stable uncertain linear system, our attention is focused on the design of full-order and reduced-order robust minimum entropy ℋ ∞ filters, which guarantee the filtering error system to be asymptotically stable and are required to minimize the filtering error system entropy (at s 0 = ∞ ) and to satisfy a prescribed ℋ ∞ disturbance attenuation performance. Sufficient conditions for the existence of desired full-order and reduced-order filters are established in terms of LMIs, respectively, and the corresponding filter synthesis is cast into a convex optimization problem which can be efficiently handled by using standard numerical software. Finally, an illustrative example is provided to show the usefulness and effectiveness of the proposed design method.
暂无评论