论文信息 - Integrated modeling and design of nonlinear control systems

Integrated modeling and design of nonlinear control systems

A summary description of a symbolic computing environment for nonlinear control system design is provided. The software includes capabilities for modeling multibody dynamics as well as linear and nonlinear control. Our goal has been to develop an efficient set of portable software tools that facilitates control system design from conception to implementation. Consequently, we are concerned with modelling, simulation, control system design and real time implementation. Experience with applications is noted.

[1] I. Kanellakopoulos,et al. Adaptive nonlinear control without overparametrization , 1992 .

[2] Gilmer L. Blankenship,et al. Symbolic construction of models for multibody dynamics , 1995, IEEE Trans. Robotics Autom..

[3] Ernest O. Doebelin,et al. Systems Modeling and Response: Theoretical and Experimental Approaches , 1980 .

[4] Harry G. Kwatny,et al. Tools for integrated modeling, design, and nonlinear control , 1995 .

[5] I. Neĭmark,et al. Dynamics of Nonholonomic Systems , 1972 .

[6] A. Isidori. Nonlinear Control Systems , 1985 .

[7] I. Kanellakopoulos,et al. Systematic Design of Adaptive Controllers for Feedback Linearizable Systems , 1991, 1991 American Control Conference.

[8] Arjan van der Schaft,et al. Non-linear dynamical control systems , 1990 .

[9] Petar V. Kokotovic,et al. Systematic design of adaptive controllers for feedback linearizable systems , 1991 .

[10] H. Kwatny,et al. Constructing linear families from parameter-dependent nonlinear dynamics , 1998, IEEE Trans. Autom. Control..

[11] H. Kwatny,et al. Variable structure regulation of partially linearizable dynamics , 1990 .

[12] Gang Tao,et al. Adaptive Control of Systems with Actuator and Sensor Nonlinearities , 1996 .