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Summary: In this paper, the problem of formation control is considered for a class of unknown nonaffine nonlinear multiagent systems under a repeatable operation environment. To achieve the formation objective, the unknown nonlinear agent's dynamic is first transformed into a compact form dynamic linearization model along the iteration axis. Then, a distributed model‐free adaptive iterative learning control scheme is designed to ensure that all agents can keep their desired deviations from the reference trajectory over the whole time interval. The main results are given for the multiagent systems with fixed communication topologies and the extension to the switching topologies case is also discussed. The feature of this design is that formation control can be solved only depending on the input/output data of each agent. An example is given to demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

In this paper, we apply the active disturbance rejection control approach to output-feedback stabilization for uncertain lower triangular nonlinear systems with stochastic inverse dynamics and stochastic disturbance. We first design an extended state observer (ESO) to estimate both unmeasured states and stochastic total disturbance that includes unknown system dynamics, unknown stochastic inverse dynamics, external stochastic disturbance, and uncertainty caused by the deviation of control parameter from its nominal value. The stochastic total disturbance is then compensated in the feedback loop. The constant gain and the time-varying gain are used in ESO design separately. The mean square practical stability for the closed-loop system with constant gain ESO and the mean square asymptotic stability with time-varying gain ESO are developed, respectively. Some numerical simulations are presented to demonstrate the effectiveness of the proposed output-feedback control scheme. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In this paper, a new event-switched control method is presented for controlling discrete-time linear systems subject to bounded disturbances. The main advantage of the proposed method is that the nominal performance of the controlled system with periodic control updates is kept in a framework that do not require to periodically update the control law. The feedback control loop can be opened as long a state-dependent event condition is satisfied. This condition is obtained using set theory approaches. In particular, the concept of robustly positively invariant sets is used to calculate the nominal performance and the event condition. The simulation presented in this paper confirms the efficiency of the present approach. A reduction of the numerical complexity of the approach is also proposed. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

This paper extends the existing proximate time-optimal servomechanism control methodology to the more typical second-order servo systems with a damping element. A parameterized design of expanded proximate time-optimal servomechanism control law with a speed-dependent linear region is presented for rapid and smooth set-point tracking using a bounded input signal. The control scheme uses the time-optimal bangbang control law to accomplish maximum acceleration or braking whenever appropriate and then smoothly switches into a linear control law to achieve a bumpless settling. The closed-loop stability is analyzed, and then the control scheme is applied to the position--velocity control loop in a permanent magnet synchronous motor servo system for set-point position regulation. Numerical simulation has been conducted, followed by experimental verification based on a TMS320F2812 digital signal controller board. The results confirm that the servo system can track a wide range of target references with superior transient performance and steady-state accuracy. [ABSTRACT FROM AUTHOR]

SUMMARY This paper proposes a robust controller for sinusoidal pulse width modulation (PWM) inverters, which can track a sinusoidal reference with zero steady-state error. A closed-loop system for single-phase full-bridge inverters is constructed on the basis of the internal model principle. The appropriate control gains of the constructed closed-loop system are determined using a state-feedback controller design method via linear matrix inequalities. The proposed controller can adapt to the uncertain variations in the load conditions. It is also shown that the pole-placement constraints and control performance indexes based on the H2 and H∞ norms as well as a standard quadric performance index in optimal control can be applied to the proposed robust controller. Digital computer simulation is implemented to confirm the validity of the proposed robust controller with the internal model principle. A prototype experimental model is constructed and tested. Experimental results demonstrate that an excellent and practical robust controller for sinusoidal PWM inverters is realized under uncertain and fluctuating load conditions, including the nonlinear loads such as diode rectifiers. © 2014 Wiley Periodicals, Inc. Electr Eng Jpn, 187(2): 44-52, 2014; Published online in Wiley Online Library (). DOI 10.1002/eej.22542 [ABSTRACT FROM AUTHOR]