This paper proposes a systematic way of designing PID controllers for discrete-time systems with l(1) performance. By using the system augmentation techniques, the PID control system is converted into a static output ...
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ISBN:
(纸本)9798350345780
This paper proposes a systematic way of designing PID controllers for discrete-time systems with l(1) performance. By using the system augmentation techniques, the PID control system is converted into a static output feedback (SOF) control system. Then, the SOF control system is represented in delta domain. A conecomplementarylinearization (CCL) algorithm is presented to calculate the desired SOF controller, from which the PID controller can be recovered. Simulation examples are given to show the effectiveness of the proposed method.
In this paper, the problem of reliable H controller design is studied for a class of nonlinear networked control systems. A novel model is presented, which contains random transmission delays, faults of the sensor and...
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In this paper, the problem of reliable H controller design is studied for a class of nonlinear networked control systems. A novel model is presented, which contains random transmission delays, faults of the sensor and actuator. The sensor-to-controller and controller-to-actuator transmission delays with upper bounds are considered, simultaneously. The working conditions of the sensor and actuator are formulated as two independent Markov chains, which take matrix values in finite sets, respectively. The resulting closed-loop system is converted into a Markov switching system. On the basis of the cone complementary linearization algorithm, a mode-dependent reliable controller is constructed such that the closed-loop system is stochastically stable and attains the prescribed H disturbance attenuation level. Finally, a numerical example is given to show the effectiveness of the developed technique.
The problem of the stability analysis and controller design for Lurie networked control systems (NCSs) is investigated, in which the network-induced delays and data dropout problems are simultaneously considered. By c...
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The problem of the stability analysis and controller design for Lurie networked control systems (NCSs) is investigated, in which the network-induced delays and data dropout problems are simultaneously considered. By considering that the network-induced delays are assumed to be time-varying and bounded, and analyzing the relationship between the delay and its upper bound, employing a Lyapunov-Krasovskii function and an integral inequality approach, an improved stability criterion for NCSs is proposed. Furthermore, the resulting condition is extended to design a less conservative state feedback controller by employing an improved conecomplementarylinearization (ICCL) algorithm. Numerical examples are provided to show the effectiveness of the method.
Based on a new Lyapunov functional, the problem on the delay-dependent H-infinity feedback control for discrete-time networked control systems with interval time-varying delay is discussed. A new Lyapunov functional i...
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ISBN:
(纸本)9781457720727
Based on a new Lyapunov functional, the problem on the delay-dependent H-infinity feedback control for discrete-time networked control systems with interval time-varying delay is discussed. A new Lyapunov functional is given to obtain sufficient conditions on the stability with H-infinity performance for the considered systems. Both H-infinity performance index. and feedback controller parameter K can be achieved simultaneously by using a cone complementary linearization algorithm to solve the obtained nonlinear matrix inequality. A numerical example illustrates that the obtained new result is less conservative than some existing corresponding ones.
H-infinity robust control and stability are addressed for a class of uncertain fuzzy systems with time-delays in both states and control inputs. Using a Lyapunov-Krasovskii functional in descriptor model transformatio...
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H-infinity robust control and stability are addressed for a class of uncertain fuzzy systems with time-delays in both states and control inputs. Using a Lyapunov-Krasovskii functional in descriptor model transformation, we have presented the delay-dependent sufficient conditions of stability to ensure asymptotic stability of the system. To be less conservative in results, we employ an algorithm involving convex optimization in designing the state-feedback controller. The example shows the validity of our results.
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