Shujing Wu

Design of the State Predictive Model Following Control System with Time-Delay

Design of the State Predictive Model Following Control System with Time-Delay Time-delay systems exist in many engineering fields such as transportation systems, communication systems, process engineering and, more recently, networked control systems. It usually results in unsatisfactory performance and is frequently a source of instability, so the control of time-delay systems is practically important. In this paper, a design of the state predictive model following control system (PMFCS) with time-delay is discussed. The bounded property of the internal states for the control is given, and the utility of this control design is guaranteed. Finally, examples are given to illustrate the effectiveness of the proposed method, and state predictive control techniques are applied to congestion control synthesis problems for a TCP/AQM network.

Model following control system with robot system

In this paper, we propose a new study of the robot control by using model following control system (MFCS). With the MFCS method [1]-[5], we obtain a simple input control law. The bounded property of the internal states for the control is given and the utility of this control design is guaranteed. Finally, examples are given to illustrate the effectiveness of the proposed method, and MFCS control techniques are applied to robot control synthesis problems.

T-S fuzzy model following control system for descriptor system

This paper introduces a fuzzy control design method for model following control system (MFCS) with descriptor systems. The Takagi and Sugeno (T-S) fuzzy model [1] is employed to represent a nonlinear system. In this case, a new criterion is proposed to ensure the internal states be stable.

Predictive MFCS for linear commensurate engineering mechanical systems with time delay

We can design linear predictive model following control system (PMFCS) with commensurate time-delay whose internal states are bounded. Time-delay widely exists among controlled objects in computer control processes, power systems, chemical processing systems, metallurgical processing systems, environmental systems and communication systems transmission systems and other industrial production activities [1] ∼ [5], and makes it difficult to evaluate effects of control system input signals in time, which will ineluctably deteriorate performance of the control system in automatically removing outside disturbances, and influence stability of the system. This paper discusses a design of PMFCS for the linear commensurate time-delay based on the model following control theory proposed by Okubo [6], and is thus considered to be innovative and applicable. It is confirmed on basis of a numerical example that the output signal of the control system asymptotically follows the reference model signal in the case of the existence of disturbances.

Mechanical engineering control system for the linear time delay with disturbances

Predictive model following control mechanical engineering control system can output general signals following the desired ones. In this paper, a method of predictive system will be extended to be a design of linear system with time-delay. The bounded property of the internal states for the control is given and the utility of this control design is guaranteed. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

The Design of a Discrete Time Model Following Control System for Nonlinear Descriptor System

This paper studies the design of a model following control system (MFCS) for nonlinear descriptor system in discrete time. In previous studies, a method of nonlinear model following control system with disturbances was proposed by Okubo,S. and also a nonlinear model following control system with unstable zero of the linear part, a nonlinear model following control system with containing inputs in nonlinear parts, and a nonlinear model following control system using stable zero assignment. In this paper, the method of MFCS will be extended to descriptor system in discrete time, and the effectiveness of the method will be verified by numerical simulation.

Linear discrete time mechanical system

This paper, we propose a new design of linear descriptor discrete time mechanical system control law by using model following control system (MFCS). In previous studies, a method of MFCS was proposed by S. Okubo [1][2]. In this paper, the method of MFCS will be extended to discrete time descriptor mechanical system. The bounded property of internal states for control system is given and utility of this control design is guaranteed. In this case, a new criterion is proposed to ensure that internal states are stable.

Design of MFCS for nonlinear discrete-time with disturbances

In this paper we consider the design problem of MFCS (model following control system) for nonlinear discrete-time. The nonlinear discrete-time system studied in this paper has the property of norm constraint ‖ ƒ (v(k)) ‖≤α + β ‖ v(k) ‖^γ, where α ≥ 0, β ≥ 0,0 ≥ γ ≥ 1. The bounded property of internal states for control system is given and utility of this control design is guaranteed. A numerical simulation is given to illustrate the effectiveness of the proposed method.

Model Following Control System for Descriptor of Linear Time-Delay System

This paper consider the design problem of MFCS (model following control system) for a descriptor of linear time- delay system. The bounded property of internal states for control system is given and utility of this control design is guaranteed. Numerical results are given to illustrate the effectiveness of the proposed method. m m m = (4) Here, m l m R t y ∈ ) (, m l m R t r ∈ ) (, m n m R t x ∈ ) (. ) (t rm is the model input, ) (t y m is the model output and m m n n m R A × ∈ , m m l n m R B × ∈ , m m n l m R C × ∈ . Output error is given as )

Design of Discrete Time MFCS for the Large-Sized Freezer System with Energy Loss

Design of discrete time model following control� system (MFCS) for the large-sized freezer system withenergy� loss. In previous studies, a method of linear MFCS was proposed� by S. Okubo (1). In this paper, the method of MFCS will beextended to discrete time system. In this case, it is possible tocome and it is� examined to do for real the large-sized freezersystem of the control theory with consideration of the energy loss.�A new criterion of the large-sized freezer system with energy lossis proposed. Keywords- discrete time system; model following control system m n n m R A × ∈ , m m l n m R B × ∈ , m m n l m R