access icon free Standard solution to mixed control with regular Riccati equation

In this study, the authors are concerned with the long-standing mixed problem for discrete linear systems. The main contribution is to derive the standard solution of the mixed problem by a regular Riccati equation. Firstly, in -optimisation procedure, the optimal strategy is explicitly given where the -norm is maximised by w and -norm is minimised by u at the same time. It is noted that there exists an arbitrary item in the optimal strategy for the positive semi-definite weighting matrices. Secondly, the -optimisation problem is explicitly solved with respect to the arbitrary item. Finally, the standard solution of the mixed problem is explicitly given in terms of regular Riccati equations by combining the optimal strategy in optimisation procedure and the optimal solution of optimisation procedure. Examples are presented to show the effectiveness of the proposed approach.

Inspec keywords: linear systems; Riccati equations

Other keywords: discrete linear systems; regular Riccati equation; optimal strategy; positive semidefinite weighting matrices; standard solution; optimal solution; arbitrary item

Subjects: Linear algebra (numerical analysis); Optimal control; Optimisation techniques; Linear control systems

References

    1. 1)
      • 16. Wonham, W.: ‘On the separation theorem of stochastic control’, SIAM J. Control, 1968, 6, pp. 312-326.
    2. 2)
      • 18. Lim, A.E.B., Zhou, X.Y.: ‘Stochastic optimal LQR control with integral quadratic constraints and indefinite control weights’, IEEE Trans. Autom. Control, 1999, 44, pp. 359-369.
    3. 3)
      • 11. Li, X., Wang, W., Xu, J., et al: ‘Stackelberg game approach to mixed H2/H problem for continuous-time system’, J. Syst. Sci. Complex., 2019, 32, (5), pp. 13241339.
    4. 4)
      • 22. Chen, H.F.: ‘Unified controls applicable to general case under quadratic index’, Acta Math. Appl. Sin., 1982, 5, (1), pp. 4552.
    5. 5)
      • 1. Bernstein, D.S., Haddad, W.M.: ‘LQG control with H performance bound: a riccati equation approach’, IEEE Trans. Autom. Control, 1989, 34, pp. 293-305.
    6. 6)
      • 14. Anderson, B.D.O., Moore, J.B.: ‘Optimal control: linear quadratic methods’ (Prentice Hall, Englewood Cliffs, NJ, 1990).
    7. 7)
      • 6. Limebeer, D.J.N., Anderson, B.D.O., Hendel, B.: ‘A nash game approach to mixed H2/H control’, IEEE Trans. Autom. Control, 1994, 39, (1), pp. 6982.
    8. 8)
      • 27. Li, X., Xu, J., Zhang, H.: ‘Mixed H2/H control with regular riccati equation’. 2019 IEEE 15th Int. Conf. on Control and Automation, Edinburgh, Scotland, 2019, pp. 934939.
    9. 9)
      • 5. Khargonekar, P.P., Rotea, M.A.: ‘Mixed H2/H control: a convex optimization approach’, IEEE Trans. Autom. Control, 1991, 36, (7), pp. 824837.
    10. 10)
      • 4. Sweriduk, G.D., Calise, A.J.: ‘Differential game approach to the mixed H2/H problem’, J. Guid. Control Dyn., 1997, 20, pp. 1229-1234.
    11. 11)
      • 26. Li, X., Wang, W., Xu, J., et al: ‘Solution to mixed H2/H control for discrete-time systems with (x;u;v)-dependent noise’, Int. J. Control Autom. Syst., 2019, 17, (2), pp. 273285.
    12. 12)
      • 17. Xu, J., Shi, J., Zhang, H.: ‘A leader-follower stochastic linear quadratic differential game with time delay’, Sci. China Inf. Sci., 2018, 61, pp. 112202:1112202:13.
    13. 13)
      • 8. Zhu, H.N., Zhang, C.K., Sun, P.H., et al: ‘A Stackelberg game approach to mixed H2/H robust control for singular bilinear systems’. Int. Conf. on Industry Information System and Material Engineering, Guangzhou, China, April 16–17 2011, pp. 18391847.
    14. 14)
      • 20. Krener, A.J.: ‘The high order maximal principle and its application to singular extremals’, SIAM J. Control Optim., 1977, 15, pp. 256-293.
    15. 15)
      • 15. Bismut, J.M.: ‘Linear quadratic optimal stochastic control with random coefficient’, SIAM J. Control Optim., 1976, 14, (3), pp. 419444.
    16. 16)
      • 25. Zhang, H., Li, L., Xu, J., et al: ‘Linear quadratic regulation and stabilization of discrete-time systems with delay and multiplicative noise’, IEEE Trans. Autom. Control, 2015, 60, (10), pp. 25992613.
    17. 17)
      • 23. Zhang, H., Xu, J.: ‘Optimal control with irregular performance’, SCIENCE CHINA Information Sciences, doi: 10.1007/s11432-018-9685-8.
    18. 18)
      • 3. Curtis, P.M., Ridgely, D.B.: ‘Normal accleration command following of the F-16 using optimal control methodologies: a comparison’. Proc. 1992 The First IEEE Conf. on Control Applications, Dayton, Ohio, September 1992, pp. 1316.
    19. 19)
      • 19. Willems, J.C., Kitapci, A., Silverman, L.M.: ‘Singular optimal control: a geometric approach’, SIAM J. Control Optim., 1986, 24, pp. 323-337.
    20. 20)
      • 10. Li, X., Xu, J., Wang, W., et al: ‘Mixed H2/H control for discrete-time systems with input delay’, IET Control Theory Appl., 2018, 12, (16), pp. 22212231.
    21. 21)
      • 7. Zhang, W.H., Huang, Y.L., Zhang, H.S.: ‘Stochastic H2/H control for discrete-time systems with state and disturbance dependent noise’, Automatica, 2007, 43, pp. 513-521.
    22. 22)
      • 24. Hassibi, B., Sayed, A.H., Kailath, T.: ‘Indefinite quadratic estimation and control-A unified approach to H2 and H theories’. Society for Industrial and Applied Mathematics, Philadelphia,PA, USA, 1999.
    23. 23)
      • 21. Rami, M.A., Chen, X., Zhou, X.Y.: ‘Discrete-time indefinite LQ control with state and control dependent noise’, J. Global Optim., 2002, 23, pp. 245-265.
    24. 24)
      • 9. Ahmed, M., Mukaidani, H., Shima, T.: ‘H-constrained incentive Stackelberg games for discrete-time stochastic systems with multiple followers’, IET Control Theory Appl., 2017, 11, (15), pp. 24752485.
    25. 25)
      • 2. Robort, L., Vittal, R., Frank, K.: ‘Mixed H2 and H optimal control of smart structures’. Proc. of the 33th Conf. Decision and Control, Lake Buena Vista, FL, Decenber 1994, pp. 115120.
    26. 26)
      • 13. Davis, M.: ‘Linear estimation and stochastic control’ (Chapman and Hall, London, 1977).
    27. 27)
      • 12. Mustafa, D.: ‘Relations between maximum entropy/H control and combined H/LQG control’, Syst. Control Lett., 1989, 12, (3), pp. 193203.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2020.0061
Loading

Related content

content/journals/10.1049/iet-cta.2020.0061
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading